[ { "_id" : "ALiuPJ3LthESAr6ag", "firstName" : "Shashi", "lastName" : "Yenkanchi", "linkedInUrl" : "https://www.linkedin.com/in/shashibushan-yenkanchi/", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Specialist @NetraMark Inc", "domainFeatures" : [ "selfDriving" ], "technicalFeatures" : [ "computerVision", "timeSeries", "dataEngineering", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nResearch Scientist @Fugro Roadware; built a hardware and software kit to make any car level 3 autonomous \n### What I can help with\nDeep learning and computer vision, planning, autonomous vehicles, on-line learning", "isFormerMentee" : false }, { "_id" : "yXpazvWMKQJ6nuNuM", "firstName" : "Akhmed", "lastName" : "Rakhmati", "linkedInUrl" : "https://www.linkedin.com/in/akhmedrakhmati/", "locationString" : "New York, NY, USA", "gitHubUrl" : "https://github.com/arakhmat", "currentRole" : "Senior Software Engineer @ QuantLab", "domainFeatures" : [ "semiconductor", "finance", "telecom" ], "technicalFeatures" : [ "computerVision", "deepLearning", "reinforcementLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nDeep Learning Developer @TensTorrent; formerly @for.ai, research supervised by Ian Goodfellow \n### What I can help with\nDeep learning, high-performance computing, computer vision", "isFormerMentee" : false }, { "_id" : "n6ACYQctJYNHomyM6", "firstName" : "Marc", "lastName" : "Belmont", "linkedInUrl" : "https://www.linkedin.com/in/marc-belmont-4303321/", "gitHubUrl" : "https://github.com/marcbelmont", "locationString" : "Budapest, Hungary", "domainFeatures" : [ ], "technicalFeatures" : [ "webDevelopment", "productionization", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nSerial founder with 2 exits; formerly @Lydi; built and sold full-stack SaaS machine learning companies.\n\n### What I can help with\nObject detection, GANs, integrating ML into software products", "currentRole" : "CTO at ParkPow", "isFormerMentee" : false }, { "_id" : "ce2smJ6NdJogAGs5g", "firstName" : "Amir", "lastName" : "Feizpour", "linkedInUrl" : "https://www.linkedin.com/in/amirfz/", "locationString" : "Toronto, ON, Canada", "gitHubUrl" : "https://amirfz.github.io", "domainFeatures" : [ "finance" ], "technicalFeatures" : [ "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nSenior Data Science Manager @RBC; runs TDLS, Toronto's best-regarded weekly deep learning Meetup group \n### What I can help with\nBuilding robust data pipelines, working with large datasets and building your data science brand", "isFormerMentee" : false }, { "_id" : "szG4ZJsmbQkDQkkuo", "firstName" : "Cheryl", "lastName" : "To", "linkedInUrl" : "https://www.linkedin.com/in/cherylto/", "gitHubUrl" : "https://github.com/https://github.com/cherylto", "domainFeatures" : [ "healthcare", "infrastructure", "research" ], "technicalFeatures" : [ "analytics", "dataEngineering", "visualization" ], "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Engineer", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "Back in 2018, I was a mentee with SharpestMinds. Working with a mentor helped me land my first Data Job. I am now applying and successfully getting offers for Sr Data Engineer roles.\n\nBreaking into the industry might be hard, but with the right attitude and strategy, it's a rewarding career with lots of growth potential.\n\nPlease message me if you want to chat about my experiences and how I might help you reach your goals :) \n\nBest, \nCheryl", "isFormerMentee" : true }, { "_id" : "T2RpPif48pHq45C7u", "firstName" : "Vithursan", "lastName" : "Thangarasa", "linkedInUrl" : "https://www.linkedin.com/in/vithursant/", "locationString" : "San Francisco, CA, USA", "gitHubUrl" : "https://github.com/vithursant", "currentRole" : "Deep learning @Uber AI; formerly @Tesla", "domainFeatures" : [ "selfDriving" ], "technicalFeatures" : [ "deepLearning", "computerVision", "dataEngineering", "devops" ], "websiteUrl" : "http://embedding.ai", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nDeep learning @Uber AI; formerly @Tesla; Doing state of the art research on overcoming catastrophic forgetting in neural nets to allow for continual/lifelong learning \n### What I can help with\nLarge scale high-performance computing systems, deep learning, computer vision, and autonomous vehicles", "isFormerMentee" : false }, { "_id" : "Mt9ZuZc8uatRegA2R", "firstName" : "Vik", "lastName" : "Pant", "linkedInUrl" : "https://www.linkedin.com/in/vikpant/", "locationString" : "Toronto, ON, Canada", "websiteUrl" : "http://www.synthintel.ai/", "currentRole" : "Deep Learning @Oracle", "domainFeatures" : [ "digitalMarketing", "software" ], "technicalFeatures" : [ "nlp", "deepLearning", "dataEngineering", "devops", "reinforcementLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nDeep Learning @Oracle; Machine Learning Advisor to over 1200 startups (via @MaRS Toronto) \n### What I can help with\nRobust data science pipelines, deep learning at enterprise scale, and building a strong data science portfolio, introductions to data science professionals in a variety of industries", "isFormerMentee" : false }, { "_id" : "D7PmDQHKB5MCe4HXo", "firstName" : "Nick", "lastName" : "Bent", "linkedInUrl" : "https://www.linkedin.com/in/nicolas-bent-747292aa/", "locationString" : "Montreal, QC, Canada", "gitHubUrl" : "https://github.com/nickbent", "currentRole" : "Machine learning engineer @ Samsung", "domainFeatures" : [ "finance", "research" ], "technicalFeatures" : [ "deepLearning", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI'm a Machine Learning Engineer at Samsung with a wide range of interests. I have done work in NLP, computer vision and worked on installing infrastructure for ML projects. Currently I am looking for someone to help me with some data science projects related to open source data avaible for Montreal.", "isFormerMentee" : false }, { "_id" : "7CsrmyoLSnMvnwn7A", "linkedInUrl" : "https://www.linkedin.com/in/christopher-ngan-72521152/", "lastName" : "Ngan", "firstName" : "Christopher", "locationString" : "Toronto, ON, Canada", "currentRole" : "Software Engineer for Healthcare Navigation | Ex - ML/Data @ Shopify", "domainFeatures" : [ "eCommerce", "software", "saas" ], "technicalFeatures" : [ "dataEngineering", "analytics", "productionization" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "oneOnOneCalls" ], "readme" : "### About me\nDeveloping systems and services to expose ML Models for healthcare @ Included Health. Past roles include ML engineer and data scientist from high growth startups and Shopify\n\n\n### What I expect from mentees\nI'm looking for mentees that are comfortable with the fundamentals of computer science and applied Machine Learning software packages. Ideally mentees are looking to work through a full-stack data science project and is looking for someone to help guide the construction of their project. I will provide code-reviews, regular one-ones and practice interviews in order to help the mentee be successful. I can probably be the most help to those looking to build production ready systems and analyzing real world data.", "gitHubUrl" : "https://github.com/chrisngan24", "isFormerMentee" : false }, { "_id" : "2cACtrZ2aaQcFMBzL", "linkedInUrl" : "https://www.linkedin.com/in/amirali-kazeminejad/", "lastName" : "Kazeminejad", "firstName" : "Amirali", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Enginner", "domainFeatures" : [ "logistics", "healthcare", "software" ], "technicalFeatures" : [ "devops", "dataScience", "timeSeries" ], "mentorshipOfferings" : [ "codeReview", "projects", "oneOnOneCalls" ], "isFormerMentee" : false }, { "_id" : "JjGw2kaXuB97jWfMj", "firstName" : "Maheedhar", "lastName" : "Kolla", "linkedInUrl" : "https://www.linkedin.com/in/mkolla/", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @Klick", "domainFeatures" : [ "healthcare" ], "technicalFeatures" : [ "deepLearning", "nlp", "recommenders", "dataEngineering", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist @Klick; formerly founder @Fletch News; built industrial machine learning libraries and models for search, product adoption prediction, topic analysis \n### What I can help with\nSearch & retrieval, NLP, attention models, big data tools, industrial ML pipelines\nHealth Care, User modelling", "isFormerMentee" : false }, { "_id" : "fokRzqy3tYstafmTj", "linkedInUrl" : "https://www.linkedin.com/in/reuben-p-87740372/", "lastName" : "Pereira", "firstName" : "Reuben", "domainFeatures" : [ "consulting" ], "technicalFeatures" : [ "dataScience", "webDevelopment", "devops", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "locationString" : "Toronto, ON, Canada", "readme" : "### About me\nSenior Data Scientist @Deloitte, Data Science Instructor @BrainStation \n### What I can help with\nProductionizing and deploying classic machine learning models.", "isFormerMentee" : false }, { "_id" : "EqQ3Jtsp92tqPkDHu", "lastName" : "Qureshi", "firstName" : "Arooj", "linkedInUrl" : "https://www.linkedin.com/in/arooj-a-qureshi", "locationString" : "Hamilton, ON, Canada", "domainFeatures" : [ "finance", "government", "healthcare", "security", "retail", "research" ], "technicalFeatures" : [ "deepLearning", "timeSeries", "devops", "anomalyDetection", "analytics" ], "currentRole" : "Data Scientist", "gitHubUrl" : "http://github.com/arooj1", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\n\nMy name is Arooj. I am a data scientist with 7+ years of experience in software engineering, data modelling, and building end-to-end machine learning applications across the clean-tech, security, healthcare, and education industries. I have worked with various types of data, including temporal EEG and UWB signals, text (sentiment analysis), images, and SQL-structured databases. I love working in an Agile environment, working across different teams, and collaborating with stakeholders and developers. As an educationist by heart, I am working with 3 North American universities in the capacity of A.I. content developer and data science instructor.", "isFormerMentee" : true }, { "_id" : "bbo6R6xHsxzt6Sj3w", "linkedInUrl" : "https://www.linkedin.com/in/loganjeya/", "lastName" : "Jeya", "firstName" : "Logan", "locationString" : "San Francisco, CA, USA", "domainFeatures" : [ "software" ], "technicalFeatures" : [ "computerVision", "tabular", "dataEngineering", "deepLearning", "devops", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nMichelangelo Product Lead @Uber; formerly @Microsoft; leading development of Uber's machine learning platform \n### What I can help with\nComputer vision, ML inference at massive scales (~1B predictions per second), PyTorch, TensorFlow, Spark ecosystem, ML education", "isFormerMentee" : false }, { "_id" : "o9T6uCmHmpzDW8aWH", "firstName" : "Oren", "lastName" : "Shklarsky", "linkedInUrl" : "https://www.linkedin.com/in/orenshk/", "locationString" : "Toronto, ON, Canada", "gitHubUrl" : "https://github.com/orenshk", "currentRole" : "Senior Machine Learning Engineer @UberAI", "domainFeatures" : [ "logistics" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "deepLearning", "webDevelopment" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nSenior ML Engineer @Uber; worked on recommender engines at @Uber and @Postmates. Before that I worked on optimization algorithms at @D-Wave \n### What I can help with\nproduction-level data science and machine learning. Software engineering practices.", "isFormerMentee" : false }, { "_id" : "sJxgC7jthcC6XZkty", "domainFeatures" : [ "consulting", "robotics", "socialMedia", "dataForGood", "software", "research", "logistics" ], "technicalFeatures" : [ "dataScience", "unsupervised", "timeSeries", "deepLearning", "reinforcementLearning", "anomalyDetection", "visualization", "analytics", "recommenders", "productionization" ], "linkedInUrl" : "https://www.linkedin.com/in/ajanand/", "lastName" : "Anand", "firstName" : "Ajay", "locationString" : "Oakland, CA, USA", "currentRole" : "Sr. Data Scientist", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nSenior Data Scientist @Noodle.ai; formerly @GE Digital; building large scale pipelines to segment factory IoT sensor data \n### What I can help with\nIndustrial sensor data, unsupervised learning, anomaly detection, reinforcement learning, deep learning, data engineering", "isFormerMentee" : false }, { "_id" : "4gnQt62faYz3LE9yT", "domainFeatures" : [ "research", "software" ], "technicalFeatures" : [ "devops", "productionization", "reinforcementLearning" ], "linkedInUrl" : "https://www.linkedin.com/in/sanyamkapoor/", "lastName" : "Kapoor", "firstName" : "Sanyam", "locationString" : "New York, NY, USA", "gitHubUrl" : "https://github.com/salmanazarr/", "websiteUrl" : "https://www.sanyamkapoor.com/", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nResearcher @NYU Center for Data Science; formerly @Google; built Kubeflow, Google's open source machine learning toolkit for Kubernetes. \n### What I expect from mentees\nI'm seeking mentees who can spend >20 hours / week for ~8 weeks. A typical week will involve working on a deep technical aspect of an end-to-end solution. Mentees in advanced learning stages can expect collaborating with me on my open-source projects (and other ideas). \n### What I can help with\nReinforcement Learning, Monte Carlo Methods, Bayesian Learning, Kubernetes, Docker, React, Vagrant", "isFormerMentee" : false }, { "_id" : "42DP5KEhYNmcB4Q9h", "linkedInUrl" : "https://www.linkedin.com/in/ricky-fok/", "lastName" : "Fok", "firstName" : "Ricky", "locationString" : "Toronto, ON, Canada", "currentRole" : "Applied Research Scientist @ Crater Labs", "domainFeatures" : [ "consulting" ], "technicalFeatures" : [ "deepLearning", "nlp", "computerVision", "unsupervised", "timeSeries", "dataEngineering" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI have publications in top research journals and conferences in three STEM fields (physics, applied mathematics, computer science). \n\nI implement systems that outperform state-of-the-art algorithms for clients. Some of my work have taken clients away from global AI firms. \n### What I can help with\nMachine learning, Deep Learning. I will show you the path to success. It's on you to walk that road.\n\nDuring the mentorship, you will be implementing a state-of-the-art system and improving upon it.", "isFormerMentee" : false }, { "_id" : "aiidutkXE9Rh3L9PH", "linkedInUrl" : "https://www.linkedin.com/in/dcshapiro/", "lastName" : "Shapiro", "firstName" : "Daniel", "locationString" : "Ottawa, ON, Canada", "currentRole" : "CTO", "gitHubUrl" : "https://github.com/dcshapiro", "domainFeatures" : [ "finance", "consulting", "software" ], "technicalFeatures" : [ "deepLearning", "nlp", "dataEngineering", "devops", "reinforcementLearning", "recommenders", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nCTO @Lemay.ai; led dozens of AI projects across multiple domains, with over 30 academic publications and patents \n### What I can help with\nDeep learning, NLP on unstructured datasets, time series analysis, ML in embedded systems, and much more AI magic", "isFormerMentee" : false }, { "_id" : "gvgdZLRCRBZRaxDfw", "domainFeatures" : [ "digitalMarketing", "software", "retail" ], "technicalFeatures" : [ "nlp", "dataScience", "visualization", "computerVision", "recommenders" ], "linkedInUrl" : "https://www.linkedin.com/in/gavin-hackeling-91668820/", "lastName" : "Hackeling", "firstName" : "Gavin", "locationString" : "Northville, NY 12134, USA", "currentRole" : "Data Scientist", "gitHubUrl" : "https://github.com/gavinmh", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI am the author of the first and second editions of Mastering Machine Learning with scikit-learn. I have previously taught General Assembly's introductory data science course. I have worked in machine learning engineering and data science roles at several NYC startups over the past 8 years. \n### What I can help with\nNLP, recommender systems, semantic segmentation, object recognition, A/B testing", "isFormerMentee" : false }, { "_id" : "86AhKnFHZMs8FsZHS", "firstName" : "Ehsan", "lastName" : "Amjadian", "linkedInUrl" : "https://www.linkedin.com/in/ehsanamjadian/", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @RBC", "domainFeatures" : [ "finance", "research", "consulting" ], "technicalFeatures" : [ "dataScience", "nlp", "unsupervised", "deepLearning", "computerVision" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nPhD in Deep Learning & Natural Language Processing.\n\nData Scientist @RBC; built multiple state of the art NLP & Machine Vision models at industry scale. Lead interns and engineers to build cutting edge deep learning products. \n### What I can help with\nNLP, Machine Vision, Deep Learning, Data Science\n\nI help my mentees establish themselves as experts in AI and Deep Learning, by conducting very advanced projects.", "isFormerMentee" : false }, { "_id" : "ijCEhYwJJADG9kBLr", "firstName" : "Atishay", "lastName" : "Jain", "linkedInUrl" : "https://www.linkedin.com/in/atishaycn/", "gitHubUrl" : "https://github.com/atishaycn", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "software", "eCommerce", "research" ], "technicalFeatures" : [ "dataScience", "productionization", "nlp" ], "currentRole" : "Senior Machine Learning Engineer", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "http://atishaycn.github.io", "readme" : "Hi, \nMy mentorship goals are to work with you to prepare you best for what entails in a job as a data scientist / machine learning engineer. I have been taking interviews for a year now which has given me good insights that could prove helpful in your interview preparation. \nPlease feel free to reach out with any questions or setting up some time to talk.", "isFormerMentee" : true }, { "_id" : "jTkoBQrPFH5FBNSQK", "linkedInUrl" : "https://www.linkedin.com/in/davidyakobovitch/", "lastName" : "Yakobovitch", "firstName" : "David", "locationString" : "New York, NY, USA", "currentRole" : "Global Product Lead", "gitHubUrl" : "http://github.com/davidyakobovitch", "domainFeatures" : [ "finance", "consulting", "semiconductor", "edtech" ], "technicalFeatures" : [ "deepLearning", "computerVision", "dataScience", "devops", "nlp", "dataEngineering", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "http://www.humainpodcast.com", "readme" : "### About me\nDavid Yakobovitch is a Global Product Lead at Google, where he builds data products for Google Ads. He is actively involved in the startup ecosystem through his investments at DataPower Ventures and Tech Dinner Series, which connects founders and venture capitalists. He is also an avid podcast host for both the AI (HumAIn Podcast) and FinTech (Voice of FinTech Podcast) industries.\n\nBefore Google, David led Technical Enablement at SingleStore, an HTAP cloud database. Previously, he led Enterprise Data Science Professional Services at Galvanize and General Assembly.", "isFormerMentee" : false }, { "_id" : "36WKigjPGGdYCN3hh", "domainFeatures" : [ "socialMedia" ], "technicalFeatures" : [ "dataEngineering", "devops", "analytics", "visualization" ], "linkedInUrl" : "https://www.linkedin.com/in/lelay/", "lastName" : "Le Lay", "firstName" : "François", "locationString" : "Stony Brook, NY, USA", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Engineering Manager @Spotify; building Spotify's open-source ML platform \n### What I can help with\nData engineering, ML infrastructure, large-scale datasets, A/B testing", "isFormerMentee" : false }, { "_id" : "FAbqac5xo4rX3SRGf", "linkedInUrl" : "https://www.linkedin.com/in/ashleybt/", "locationString" : "Toronto, ON, Canada", "firstName" : "Ashley", "lastName" : "Beattie", "gitHubUrl" : "https://github.com/ashbt", "currentRole" : "Founder + Agile Coach", "domainFeatures" : [ "consulting", "digitalMarketing" ], "technicalFeatures" : [ "dataEngineering", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nFounder and Agile Coach + ML consultant; built large-scale pipelines and ML devops systems \n### What I can help with\nData engineering, AWS, ML devops and deployment at scale", "isFormerMentee" : false }, { "_id" : "duJMWBuBC5YZJpdcG", "domainFeatures" : [ "research", "software", "naturalResources" ], "technicalFeatures" : [ "analytics", "dataScience", "visualization", "tabular", "productionization", "deepLearning" ], "lastName" : "Rimal", "firstName" : "Dipak", "locationString" : "Indianapolis, IN, USA", "currentRole" : "postdoctoral researcher", "linkedInUrl" : "https://www.linkedin.com/in/dipakrimal/", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "gitHubUrl" : "https://github.com/drimal", "websiteUrl" : "https://github.com/drimal", "readme" : "### About me\n\nMy name is Dipak Rimal. I am working as a research scientist at The Bee Corp, where I work on research and development of technology to access beehive health using IR imaging technology. \n\nPrior to joining the Bee Corp. I was as postdoctoral researcher at the University of Florida, where I studied neutrino-nucleus interactions in the Fermilab's MINERvA neutrino detector. I have Ph.D. in Nuclear Physics from Florida International University, Miami, FL. I love working on challenging, data-driven, and impactful projects.  \n\n### What I can help with\n\nI can help with resume reviews, preparing for the interviews, project development and deployment etc. \n\n### What I expect from mentees\n\nI'm looking for mentees that are focused, passionate about what they do and determined to make it happen.", "isFormerMentee" : true }, { "_id" : "bD49vgSL8cLEf9bFB", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking", "projects" ], "domainFeatures" : [ "finance", "healthcare", "manufacturing" ], "technicalFeatures" : [ "dataScience", "productionization", "nlp" ], "lastName" : "McCaffrey", "firstName" : "Ryan", "locationString" : "New York, NY, USA", "currentRole" : "Senior Machine Learning Engineer @American Express", "linkedInUrl" : "https://www.linkedin.com/in/ryanpmccaffrey/", "readme" : "### About me\nSenior Machine Learning Engineer @American Express; formerly Data Scientist @Covance, Senior Mechanical Engineer @Schlumberger \n### What I expect from mentees\nI'm looking for mentees who are already comfortable with Python and machine learning, and willing to commit 10+ hours/week to a full-stack machine learning project. I will provide help and guidance for project ideation, code review/troubleshooting, deployment, and interview preparation (including mock interviews). \n\nAs long as the mentee has a solid foundation in Python (sklearn, pandas, numpy, etc.) and math/stats, I am open to working with candidates of all backgrounds.", "isFormerMentee" : false }, { "_id" : "SGhQ6ta9AeGJfTava", "mentorshipOfferings" : [ "oneOnOneCalls", "networking", "mockInterviews" ], "domainFeatures" : [ "finance", "dataForGood", "logistics" ], "technicalFeatures" : [ "dataEngineering", "analytics", "dataScience" ], "lastName" : "Vivekanandhan", "firstName" : "Kanchana", "locationString" : "San Francisco, CA, USA", "currentRole" : "Head of Data Engineering @ Xendit", "linkedInUrl" : "https://www.linkedin.com/in/kanchmv", "readme" : "### About me\nHead of Data Engineering @ Xendit leading a team of Data Engineers and Analysts. Previously was Data Engineering Manager at YouCaring that was acquired by GoFundMe. Have been in the data space for the last 10+ years. Cares about diversity and inclusion in tech. \n### What I expect from mentees\nI am looking for Mentees that are comfortable in Python/ SQL and are familiar with various data centric libraries. Some familiarity of the data infrastructure helps. Can guide them on interesting projects to work on that is widely used in the startups and in the valley, can do one-on-one meetings and introduce to resources/ connections on where to look for Data related jobs. Interested in someone that has analytical skills and/or background in math or stats.", "isFormerMentee" : false }, { "_id" : "Qu2cS4uFizvGkjxyn", "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "networking" ], "domainFeatures" : [ "selfDriving", "logistics", "consulting" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "lastName" : "Farrer", "firstName" : "Jordan", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist @Zoox", "linkedInUrl" : "https://www.linkedin.com/in/jordanfarrer", "readme" : "### About me\nData scientist @Zoox, formerly @Uber, @Deloitte. Wharton MBA and Fulbright in Indonesia.", "isFormerMentee" : false }, { "_id" : "JQ2RNYye3y5w5rQGD", "domainFeatures" : [ "insurance", "consulting", "healthcare" ], "technicalFeatures" : [ "nlp", "dataScience", "computerVision", "deepLearning", "timeSeries", "dataEngineering", "productionization" ], "linkedInUrl" : "https://www.linkedin.com/in/kiranmantri/", "lastName" : "Mantripragada", "firstName" : "Kiran", "currentRole" : "Senior Machine Learning Engineer", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "locationString" : "Toronto, ON, Canada", "gitHubUrl" : "https://github.com/kiranmantri", "readme" : "### About me\nML engineer @Knowtions, \nformerly: Cloud Analytics Team Leader @NuraLogix, Research Engineer @IBM. \n\nFull pipeline ML and Software Engineering experience. \n### What I expect from mentees\nI am eager to help, however, I expect mentees to also have a \"hunger\" for learning.\nI would be happy to share knowledge as well as learn from this relationship \n### What I can help with\nComputer Vision, Natural Language Processing (NLP), High-Performance Computing (HPC), Distributed Computing, Systems Integration, DevOps, Parallel Processing. Optimization of existing implementations", "isFormerMentee" : false }, { "_id" : "NdfKnssjfnHwrPwhA", "domainFeatures" : [ "socialMedia", "software", "telecom" ], "technicalFeatures" : [ "nlp", "recommenders", "deepLearning" ], "linkedInUrl" : "http://linkedin.com/in/nasir-safdari-63375110a/", "lastName" : "Safdari", "firstName" : "Nasir", "locationString" : "Toronto, ON, Canada", "currentRole" : "NLP Data Scientist", "gitHubUrl" : "https://github.com/nxs5899/", "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "http://nasirsafdari.com", "readme" : "## About Me\n\nMy name is Nasir and I'm a senior Data Scientist at Introhive. I was a SharpestMinds mentee myself and I believe I can relate to the challenges and opportunities of this amazing mentorship journey with a personal perspective. \n\nAbout my background: I did my Masters in Software Engineering. After graduation, I started to work with University of Toronto as an Assistant Instructor for their Big Data Bootcamp. My next job was with Bell Canada as a Data Scientist focusing mostly on NLP/conversational AI and predictive modeling work. And currently working at Introhive with the same focus on NLP and deep learning areas. \n\nI have been very fortunate to work on some enterprise level NLP projects and have gained some good experience dealing with real world NLP challenges. Some examples are: working on a Virtual Assistant project that serves millions of customers, building NLP models for domain specific information extraction, and some cool projects for NLP data augmentation. If you have an interesting NLP project in mind, please reach out to me, I'd be glad to share ideas. And if you are interested to work on some cool NLP projects for your mentorship, I have a few in mind. \n\n## What I expect from my Mentees\nI think having clear communication and understanding each other's capacity and expectations are key to start a good mentorship. I prefer to provide honest feedback and be supportive at the same time.\nIt would be great if you can work between 10 -20 hours a week on this mentorship program and we can talk about how often and when to meet.\n\n## What I can help you with\n* Interview preps\n* Project ideas and discussions\n* Networking support\n* Deployment of your project (if applicable)", "isFormerMentee" : true }, { "_id" : "wpe5s89n7AcdpmsNY", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "domainFeatures" : [ "software", "finance", "logistics" ], "technicalFeatures" : [ "dataScience", "recommenders", "deepLearning" ], "lastName" : "Pawar", "firstName" : "Abhay", "locationString" : "San Francisco, CA, USA", "currentRole" : "Senior Machine Learning Engineer @ Instacart, San Francisco Bay Area", "gitHubUrl" : "https://github.com/abhayspawar", "linkedInUrl" : "https://www.linkedin.com/in/abhayspawar/", "readme" : "### About me\nAs Senior Machine Learning Engineer @ Instacart, I work on large scale recommendations/store inventory prediction problems. In past 6 years, I’ve worked on ML problems in tech, finance, insurance, logistics and marketing. Mentored 15 students in past 2 years. MS in DS from Columbia. IITM grad. \n### What I expect from mentees\nShould be comfortable with Python/R/other relevant languages and doing data processing in these. Should know basics of building predictive models using say logistic regression. Expect them to work >8hrs per week. Can help with finding a project. I’ll be available for questions through chat and calls \n### What I can help with\nTools: Python, R and other data visualization tools\nSkills: All skills like math, data processing and right thought process needed to build a good ML model", "isFormerMentee" : false }, { "_id" : "CLvndGtnd773zACAA", "firstName" : "Geoffrey", "lastName" : "Hunter", "linkedInUrl" : "https://www.linkedin.com/in/geoffrey-hunter-29325a7a/", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Science Lead @SpotHero", "domainFeatures" : [ "consulting", "digitalMarketing", "transportation" ], "technicalFeatures" : [ "visualization", "analytics", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI bridge the divide between business and technical teams and help organizations grow and mature their data science teams to align with their company-wide data strategy. I'm passionate about building data products.\n### What I expect from mentees\nYou should come with specific career goals and, where possible, possible projects / ideas you might want to work on. I will advise, mentor, and be your career champion, but I will not hold your hand or act as your personal head hunter. \n### What I can help with\nI prefer to take a wholistic approach to mentoring in that I like to help mentees with technical, business acumen, and career planning.", "isFormerMentee" : false }, { "_id" : "MmnxcNJJCYFJ8rmnE", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls" ], "domainFeatures" : [ "finance", "telecom" ], "technicalFeatures" : [ "visualization", "unsupervised", "dataEngineering" ], "linkedInUrl" : "https://www.linkedin.com/in/fanzhang1221/", "lastName" : "Zhang", "firstName" : "Fan", "currentRole" : "Data Scientist, Media Analytics & Segmentation", "locationString" : "Toronto, ON, Canada", "readme" : "### About me\nI am a Data Scientist @Bell; I have experience hiring data analyst/data scientist role, I know exactly what does the recruiter want in this market. \n### What I expect from mentees\nSome fundamental background knowledge around ml would be nice. And if you are looking for an opportunity in Canada, that would be ideal. \n### What I can help with\nHadoop, spark, ETL, data pipelines, model production, clustering algorithms, Scala, supervised learning algorithm, deep learning algorithm (video mining).", "isFormerMentee" : false }, { "_id" : "fNeyiE9ECvvayjgYx", "mentorshipOfferings" : [ "projects", "mockInterviews", "networking" ], "domainFeatures" : [ "selfDriving", "manufacturing", "finance" ], "technicalFeatures" : [ "timeSeries", "deepLearning", "reinforcementLearning" ], "lastName" : "Murugesan", "firstName" : "Prakash", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Engineer @ Canvass", "linkedInUrl" : "https://www.linkedin.com/in/prakash-murugesan/", "readme" : "### About me\nMachine Learning Engineer @ Canvass, formerly Lake Finance, GM, BMW\n\nPatents in AR and Urban Mobility applying Machine Learning \n### What I expect from mentees\nI'm looking for mentees who are passionate and determined to work for what they want. Having gone through a career change into this field with incremental steps in the right direction, I understand the importance of hustle.\n\nI'm interested in mentoring aspiring individuals on Data Science projects that add stars to your resume, networking for connections, resources to learn from, and marketing themselves.", "isFormerMentee" : false }, { "_id" : "2HK2q9M5CSzHbRXug", "linkedInUrl" : "https://www.linkedin.com/in/mohammadabuzar/", "lastName" : "Shaikh", "firstName" : "Mohammad Abuzar", "locationString" : "Buffalo, NY, USA", "currentRole" : "PhD AI Science Intern", "domainFeatures" : [ "research", "software" ], "mentorshipOfferings" : [ "projects", "mockInterviews", "codeReview" ], "technicalFeatures" : [ "computerVision", "nlp", "deepLearning" ], "isFormerMentee" : false }, { "_id" : "eTKrzstxYgrqxLRdp", "linkedInUrl" : "https://www.linkedin.com/in/manisnesan/", "lastName" : "Sivanesan", "firstName" : "Manikandan", "locationString" : "Toronto, ON, Canada", "currentRole" : "Principal Software Engineer", "domainFeatures" : [ "software" ], "technicalFeatures" : [ "nlp", "productionization", "devops" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nPrincipal Software Engineer primarily working in search engine technologies and data products at Red Hat. Proficient in software engineering and DevOps aspects such as Continuous Integration, Continuous Delivery, managing, and deploying artifacts to production. You can find me active in deep learning communities such as [fastai](https://forums.fast.ai/u/msivanes/summary) and NLP communities such as dair.ai where I contribute to answering questions from fellow members or to the [newsletter](https://dair.ai/NLP_Newsletter_14-en/).\n\n### What I expect from mentees\nI'm looking for mentees who are comfortable with python and can commit > 8 hrs a week on an end to end data science project related to NLP areas. I will provide code review, regular one on one meetings, and provide guidance, ideas for building models, deployment.", "gitHubUrl" : "https://github.com/manisnesan", "websiteUrl" : "https://manisnesan.github.io/chrestotes/", "isFormerMentee" : false }, { "_id" : "MMXu5YBn4AmFcMmpX", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "domainFeatures" : [ "semiconductor", "research", "dataForGood" ], "technicalFeatures" : [ "nlp", "visualization", "computerVision", "dataEngineering", "deepLearning", "productionization", "devops" ], "linkedInUrl" : "https://www.linkedin.com/in/jigarkdoshi/", "lastName" : "Doshi", "firstName" : "Jigar", "locationString" : "San Francisco, CA, USA", "readme" : "### About me\nML Lead @CrowdAI (YC S16); leading the team at CrowdAI that builds object detection and segmentation systems for satellite imagery \n### What I can help with\nComputer vision, annotation, segmentation, object detection, online learning, NLP, audio data", "isFormerMentee" : false }, { "_id" : "pFQKszEEn9ipp8hGb", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "domainFeatures" : [ "finance", "digitalMarketing", "consulting" ], "technicalFeatures" : [ "nlp", "timeSeries", "dataScience" ], "lastName" : "Moore", "firstName" : "Jesse", "locationString" : "Sofia, Bulgaria", "currentRole" : "Data Science Consultant", "linkedInUrl" : "https://www.linkedin.com/in/jessemoore07", "websiteUrl" : "https://jessemoore.ca", "readme" : "### About me\nI'm a self-taught data scientist. I started my formal data career at one of the largest online retailers in Europe and went on to co-found a Natural Language Processing company that sold data into hedge funds. That company was acquired in late 2018.\n\nNow, I'm back to consulting and enjoying life. \n### What I expect from mentees\nI really enjoy working with driven people. So I am looking to work with people that are not just passionate about the math, but at building tools that are genuinely useful. I want to work with people passionate about data science, but also passionate about a specific project they want to work on. \n### What I can help with\nThe biggest skill I hope to build is that of proper problem identification. There is a big lack of data scientists that can formulate their own problems to ensure that they answer a real need.", "isFormerMentee" : false }, { "_id" : "3GHLR4KvwbrCeSeKZ", "mentorshipOfferings" : [ "projects", "mockInterviews", "oneOnOneCalls" ], "domainFeatures" : [ "consulting" ], "technicalFeatures" : [ "dataScience", "computerVision", "deepLearning" ], "lastName" : "Kumar", "firstName" : "Saket", "locationString" : "Austin, TX, USA", "currentRole" : "Data Scientist @Arcadis", "linkedInUrl" : "https://www.linkedin.com/in/saket-k/", "isFormerMentee" : false }, { "_id" : "xuA3eoroPS59wXiWL", "lastName" : "DeJesus", "firstName" : "John", "locationString" : "New York, NY, USA", "currentRole" : "Education Analyst (Data Scientist) with NYC Department of Education", "gitHubUrl" : "https://github.com/johndejesus22", "linkedInUrl" : "https://www.linkedin.com/in/jdejesus22", "websiteUrl" : "https://medium.com/@j.dejesus22", "domainFeatures" : [ "edtech", "dataForGood", "government" ], "technicalFeatures" : [ "dataScience", "analytics", "nlp" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "**Hi there! I was a math teacher which switched to a data science role while:**\n* Having next to zero coding experience\n* Having only a pure math background\n* Maintaining my high school teaching position\n* Being a husband and father\n\nIf you relate to any number of the above, I would be happy to mentor you!\n\n**A mentorship with me will include:**\n* Tailoring to your learning style and goals\n* Helping you focus on your goals by building a focused plan for the mentorship time period and beyond\n* Minimum of two weekly sessions (30 min check-in and a 1-hour session based on your goals)\n* Help with data science related to the education domain as someone who works in the largest education department in the United States if you want to work in that space.\n\n** For skills, I can help you with**\n* Python coding from the basics on up\n* SQL\n* Analysis and creating reports for an audience \n* How to be a project manager\n* Planning and designing your projects\n* Interview Prep\n\n\nReach out if any of the above interests you to see if I would be a good mentor for you!", "isFormerMentee" : true }, { "_id" : "s3YTQdkg7Wyp6HBoi", "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects", "networking" ], "domainFeatures" : [ "digitalMarketing", "research", "edtech" ], "technicalFeatures" : [ "recommenders", "timeSeries", "dataScience" ], "linkedInUrl" : "https://www.linkedin.com/in/nfultz/", "lastName" : "Fultz", "firstName" : "Neal", "gitHubUrl" : "https://github.com/nfultz", "locationString" : "Los Angeles, CA, USA", "readme" : "### About me\nPrincipal @ njnm; building machine learning models and monte carlo simulations for FinTech, AdTech and related fields. Open Source Enthusiast.\n\n\n### What I can help with\nRecommender systems, contextual bandits, A/B testing, demand modeling, NLP, classifiers, classical statistical analysis, open source software, integration & deployment issues.", "websiteUrl" : "https://nfultz.github.io", "isFormerMentee" : false }, { "_id" : "yXznPpg3ezwooC2Er", "firstName" : "Russell", "lastName" : "Pollari", "linkedInUrl" : "https://www.linkedin.com/in/russell-pollari-b555895a/", "locationString" : "Toronto, ON, Canada", "currentRole" : "CEO SharpestMinds", "domainFeatures" : [ "software", "dataForGood", "edtech" ], "technicalFeatures" : [ "webDevelopment" ], "mentorshipOfferings" : [ "codeReview", "networking", "oneOnOneCalls" ], "gitHubUrl" : "https://github.com/russell-pollari", "websiteUrl" : "https://www.russellpollari.com", "readme" : "Hi there!\n\nI started my career as a web developer at SharpestMinds after dropping out of my physics Ph.D.\n\nI'm now CEO of SharpestMinds, but I still do a lot of web development (on this web app!). \n\nI am open to new mentees, for either an ISA or a pay-as-you-go arrangement. Reach out if you're interested. But keep in my mind that if you're looking for in-depth technical advice or guidance on a niche topic/industry, you're better off with another mentor. :)\n\nIf you want some help finding the right mentor, give me a message!", "isFormerMentee" : false }, { "_id" : "GFzefEHtTbMGduoC2", "mentorshipOfferings" : [ "codeReview", "projects", "networking", "oneOnOneCalls" ], "domainFeatures" : [ "finance", "research", "cybersecurity" ], "technicalFeatures" : [ "devops", "visualization", "dataEngineering" ], "lastName" : "Babar", "firstName" : "Zia", "locationString" : "Waterloo, ON, Canada", "currentRole" : "Director, Research and Development @ WinMagic", "linkedInUrl" : "https://www.linkedin.com/in/zbabar/", "readme" : "### About me\nDirector of Research and Development @ WinMagic, PhD Candidate at University of Toronto, CAS Research at IBM Software Labs, Founder @ DataDen, Co-Organizer @ Waterloo Data Science and Data Engineering meetup \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and SQL, and are willing to spend time learning ML/DL libraries. Estimated time commitment would be 10+ hours per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well. I consider this as a journey of exploration, where both the mentor and mentee would learn new things.", "isFormerMentee" : false }, { "_id" : "5bGKQMKmQ5dQMesAX", "domainFeatures" : [ "cybersecurity", "insurance" ], "technicalFeatures" : [ "nlp", "dataScience", "tabular", "dataEngineering" ], "linkedInUrl" : "https://www.linkedin.com/in/james-kim-b9477a88/", "lastName" : "Kim", "firstName" : "James", "locationString" : "San Francisco, CA, USA", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "currentRole" : "Data Scientist", "readme" : "### About me\nData Scientist for 3 years at Cyence (acquired by Guidewire)\n- Worked as an early start-up member and transitioned from software engineer to data scientist\n- Led and developed all parts of the ML workflow: from defining a business problem to deploying a model into production \n### What I expect from mentees\n- Mostly self-taught so I know firsthand how hard it seems to get into data science\n- Worked in multiple data products and currently involved in DS hiring; I know what kind of skills and projects will stand out\n- Asking for a hard-working and dedicated mentee who is willing to go beyond the problem \n### What I can help with\nData engineering, web scraping, pandas, numpy, scikit-learn, NLP, python, modeling, web application deployment, API development", "isFormerMentee" : false }, { "_id" : "YrFfyTNX7nGn8H5vQ", "linkedInUrl" : "https://www.linkedin.com/company/for-ai/", "lastName" : "Zhang", "firstName" : "Ivan", "locationString" : "Toronto, ON, Canada", "currentRole" : "Researchers @ FOR.ai", "domainFeatures" : [ "software", "infrastructure", "research" ], "mentorshipOfferings" : [ "projects", "codeReview", "oneOnOneCalls", "networking" ], "technicalFeatures" : [ "productionization", "deepLearning", "reinforcementLearning" ], "gitHubUrl" : "https://github.com/for-ai", "websiteUrl" : "http://for.ai", "readme" : "### About me\nFOR.ai is a machine learning research group. We publish papers to major conferences like NeurIPS and ICLR and work on open source machine learning tooling. \n### What I expect from mentees\nWe are looking for mentees that are very comfortable with operating with unknown subjects and default to action. FOR.ai will help you perform research with scientists and engineers from companies like Google Brain, Oxford, and Huawei. We are especially helpful if you're interested in building your machine learning portfolio with open sourced projects and publications. \n### What I can help with\nDeep learning research, Tensorflow, Google Cloud, Python", "isFormerMentee" : false }, { "_id" : "zKHXuc4ftq95E23bu", "domainFeatures" : [ "research", "healthcare" ], "technicalFeatures" : [ "deepLearning", "dataScience", "timeSeries" ], "linkedInUrl" : "https://www.linkedin.com/in/cristiano-aguiar/", "lastName" : "Aguiar", "firstName" : "Cristiano", "locationString" : "Toronto, ON, Canada", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "gitHubUrl" : "https://github.com/csaguiar", "websiteUrl" : "https://cristiano.io", "currentRole" : "Lead Data Scientist at Bresotec medical", "isFormerMentee" : true }, { "_id" : "u4jhzcCQ4KA37sozx", "linkedInUrl" : "https://www.linkedin.com/in/mehrsa-golestaneh-9638a759/", "lastName" : "Golestaneh", "firstName" : "Mehrsa", "locationString" : "Toronto, ON, Canada", "currentRole" : "Principal Data Scientist", "domainFeatures" : [ "software", "finance" ], "technicalFeatures" : [ "deepLearning", "nlp", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nPrincipal Data Scientist @ThinkData Works; built ML models for predicting customer churn for major banks. Currently building master data management tools leveraging cutting edge methods for ThinkData Works. \n### What I can help with\nDeep learning (specially RNNs) , NLP (sentiment analysis, entity resolution, etc.), Predictive modelling, stats.", "isFormerMentee" : false }, { "_id" : "XvaFZCvJspxeh4NRZ", "linkedInUrl" : "https://www.linkedin.com/in/alina-li-zhang-a82974a4/", "lastName" : "Li Zhang", "firstName" : "Alina", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "software" ], "technicalFeatures" : [ "dataEngineering", "deepLearning", "timeSeries", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist @superQuery. Previously @IBM and @nobul.\nI help you with hands-on projects.\n- NLP Hands-on: Sentiment Analysis\n- NLP Hands-on: Multi-lable Classification\n- Time Series Forecasting / Predictive modelling \n- Font Classification with Deep Learning CNN\n- Data Pre-processing with Pandas \n### What I expect from mentees\n- NLP Hands-on: Sentiment Analysis\n- NLP Hands-on: Multi-lable Classification\n- Time Series Forecasting / Predictive modelling \n- Font Classification with Deep Learning CNN\n- Data Pre-processing with Pandas\n- Best Practice: How to use Jupyter Notebook on GCP\n- GCP: DataPrep, BigQuery, etc. \n### What I can help with\nData engineering and cleaning. Big data and Google Cloud. Time-series forecasting. Deep Learning CNN. NLP.", "isFormerMentee" : false }, { "_id" : "QAZs6yXNe9wXn5M7A", "linkedInUrl" : "https://www.linkedin.com/in/hassanshaban/", "lastName" : "Shaban", "firstName" : "Hassan", "locationString" : "Seattle, WA, USA", "currentRole" : "Senior Data Scientist @ Recurve Analytics, Empower Dataworks", "domainFeatures" : [ "consulting", "research", "software" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "codeReview" ], "technicalFeatures" : [ "timeSeries", "visualization", "productionization" ], "readme" : "### About me\nExpertise in engineering applications of advanced analytics, optimization and machine learning, especially in IoT related to energy efficiency and power generation. \n### What I expect from mentees\nI'm looking for mentees who have at least one or two years of experience in a specific industry (e.g. healthcare, energy, marketing etc.) and are interested in using that experience to push the boundaries in their domain. They should be comfortable with Python or other statistical languages (R, SAS etc.). i will provide guidance through one-on-one calls, mock interviews and help them craft eye-catching interview material and a solid interactive project. A math or stats background doesn't hurt, but it's more important to have someone who isn't afraid of manipulating data, communicating with technical and non-technical folks and writing code.", "isFormerMentee" : false }, { "_id" : "7Foet6FdapRLQLcpy", "linkedInUrl" : "https://www.linkedin.com/in/ikeokonkwo/", "lastName" : "Okonkwo", "firstName" : "Ike", "locationString" : "San Francisco, CA, USA", "currentRole" : "Principal Data Scientist", "gitHubUrl" : "https://github.com/ike-okonkwo", "websiteUrl" : "https://datasciencebootcamps.com/", "domainFeatures" : [ "socialMedia", "digitalMarketing", "manufacturing" ], "technicalFeatures" : [ "deepLearning", "dataEngineering", "dataScience", "computerVision", "nlp", "tabular", "productionization", "webDevelopment" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI have hands-on experience creating data-driven products across a variety of industries. I also have experience with ideation, feature engineering, predictive modeling, building, and deploying tools across the ML stack. \n### What I expect from mentees\nHave at least 15 hours a week to work on a project \n### What I can help with\nGeneral / Product Data Science\nDeep Learning - Computer Vision / NLP\nMachine Learning In Production + Microservices + APIs\nFull Stack software engineering (Front End + Back End)", "isFormerMentee" : false }, { "_id" : "wqMXkLxPAEBS26TJw", "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects" ], "domainFeatures" : [ "travel", "productivity", "retail" ], "technicalFeatures" : [ "dataScience", "visualization", "nlp" ], "lastName" : "Sisakht", "firstName" : "Sepehr", "locationString" : "Calgary, AB, Canada", "currentRole" : "Data Scientist & Technology Director @ CDS", "linkedInUrl" : "https://www.linkedin.com/in/thkasis/", "readme" : "### About me\nNLP, Recommender systems, vision, segmentation, many projects to work on. We are one of the 100 fastest growing companies in Canada & are going full tech. I'm looking forward to chatting with you more about projects, feel free to hit me with a project of your ow. \n### What I expect from mentees\nIt would definitely help if you are somewhat familiar with programming and python and if not I'd highly recommend taking a couple online courses I have access to company data and can define projects to work on. I'd be happy working with you on a project of your choice as well. I'm also open on collaboration if an interesting project shows up within the context of SharpestMinds. \n### What I can help with\nProgramming, Google/IBM, model evaluations, devops. Working on real projects.I can connect you to scientists and there's always possibility of us hiring you. Projects can be NLP, classifications, IoT.", "isFormerMentee" : false }, { "_id" : "W3eGRPEASYxh4akDf", "linkedInUrl" : "https://www.linkedin.com/in/sadiqquasem/", "lastName" : "Quasem", "firstName" : "Sadiq", "locationString" : "San Diego, CA, USA", "currentRole" : "Data Scientist @ Tealium", "domainFeatures" : [ "saas", "software", "digitalMarketing" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "dataScience", "productionization", "dataEngineering" ], "readme" : "### About me\nData Scientist @ Tealium, Formerly @ GE Digital, BMW and Siemens \n### What I expect from mentees\nI would like to work with mentees who are keen on learning production machine learning applications, and want to find jobs applying the theoretical concepts at scale. I can help with code review, one on ones and mock interviews, and networking and resume review as well. \n### What I can help with\nDocker, Tensorflow, scikit-learn, Pytorch, AWS stack", "isFormerMentee" : false }, { "_id" : "E8YMdN5M6y8DpedT4", "linkedInUrl" : "https://www.linkedin.com/in/seyeadekanye/", "lastName" : "Adekanye", "firstName" : "Seye", "locationString" : "Wilmington, DE, USA", "currentRole" : "Machine Learning Software Engineer @ J.P. Morgan & Chase", "domainFeatures" : [ "finance", "research", "software" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "mockInterviews", "networking" ], "technicalFeatures" : [ "productionization", "dataScience", "dataEngineering" ], "readme" : "### About me\nI am a software engineer @ J. P. Morgan Chase. I throughly enjoy programming, but I enjoy teaching it just as much. During my doctoral degree, I self taught myself Python, and ever since then I encourage everyone I meet to get coding! \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and basic machine learning concepts and willing to commit 10+ hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings. I'm especially interested in mentoring anyone who is motivated to learn new things and is hard working and ready to put in the time. \n### What I can help with\nPython\nMachine Learning", "isFormerMentee" : false }, { "_id" : "f3k5onevmARLHwByq", "linkedInUrl" : "https://www.linkedin.com/in/gulnararadjapova/", "lastName" : "Radjapova", "firstName" : "Gulya", "locationString" : "New York, NY, USA", "currentRole" : "Data Scientist @Spotify", "domainFeatures" : [ "finance", "software", "media" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "readme" : "### About me\nData Scientist @Spotify; formerly @Squarespace, @Betterment", "isFormerMentee" : false }, { "_id" : "9brwuYo5qwjmSpc56", "linkedInUrl" : "https://www.linkedin.com/in/ch-shen", "lastName" : "Shen", "firstName" : "Chen", "locationString" : "Toronto, ON, Canada", "currentRole" : "R&D Lead - Longevity & Demographic risks", "domainFeatures" : [ "finance", "research", "insurance" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "codeReview" ], "technicalFeatures" : [ "dataScience", "productionization", "timeSeries" ], "readme" : "### About me\nWith a background in medical research and predictive analytics, I worked closely with senior business leaders to build, test, and deploy innovative solutions to set profitable prices for insurance products on the market. \n### What I can help with\nPotential projects for mentees:\n- Predict morbidity and mortality of aging population by leveraging on Global Retirement data (g2aging.com)\n- Coauthoring blogs based on recent journal publications", "isFormerMentee" : false }, { "_id" : "KW6WWgM36t6grCKL6", "linkedInUrl" : "http://www.linkedin.com/in/phillipalonhayes", "lastName" : "Hayes", "firstName" : "Phil", "locationString" : "New York, NY, USA", "currentRole" : "Data Scientist @Twitter", "domainFeatures" : [ "socialMedia", "edtech", "finance" ], "mentorshipOfferings" : [ "codeReview", "projects", "oneOnOneCalls", "mockInterviews", "networking" ], "technicalFeatures" : [ "dataScience", "visualization", "dataEngineering" ], "readme" : "### About me\nData Scientist @Twitter", "isFormerMentee" : false }, { "_id" : "L6DKKekaKPjb8oFQg", "linkedInUrl" : "https://www.linkedin.com/in/dingchaozhang/", "lastName" : "Zhang", "firstName" : "Dingchao", "locationString" : "Dallas, TX, USA", "currentRole" : "Senior Data Scientist/ ML Engineer @ Toytoa Connected", "domainFeatures" : [ "research", "software", "finance" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews", "projects", "codeReview", "networking" ], "technicalFeatures" : [ "dataScience", "deepLearning", "productionization" ], "readme" : "### About me\nSenior Data Scientist/ ML engineer, Tech Lead @ Toyota Connected. 7+ years of experience as a data scientist for high-tech products and hands-on experience delivering products or solutions that utilized Machine learning, Natural Language Processing, Computer Vision to large scale environment. \n### What I expect from mentees\nI'm looking for mentees from any background, preferably ones who are comfortable or wanted to learn more with Python and willing to commit >5 hrs per week on a full-stack Data Science project. I will provide guidance on project scoping, code-review, regular one-on-one meetings, career development coaching, interview preparation, and can probably help the most if you're interested in building your deep learning and model productionization skills.", "isFormerMentee" : false }, { "_id" : "Q8F62qZrrLW3T5QK9", "lastName" : "Kanjolia", "firstName" : "Madhur", "linkedInUrl" : "https://www.linkedin.com/in/madhur-kanjolia/", "domainFeatures" : [ "finance", "retail", "consulting" ], "technicalFeatures" : [ "dataScience", "recommenders", "nlp" ], "currentRole" : "Fraud analytics, CIBC", "gitHubUrl" : "https://github.com/mkgittor", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "locationString" : "Toronto, ON, Canada", "isFormerMentee" : true }, { "_id" : "mpcv2LAd5QBQWTCcj", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "domainFeatures" : [ "finance", "healthcare", "software" ], "technicalFeatures" : [ "nlp", "dataScience", "dataEngineering" ], "linkedInUrl" : "https://www.linkedin.com/in/marsha-meytlis-9938715", "lastName" : "Meytlis", "firstName" : "Marsha", "locationString" : "New York, NY, USA", "currentRole" : "Head of Data Science and Engineering at Northwell Health", "readme" : "### About me\nHead of data science and engineering @Northwell Health, formerly data science lead @JPMorgan Chase, director of data science @The Weather Channel, data scientist @Yahoo!. General expertise with production data science, including NLP, EDA and work with large data sets. \n### What I expect from mentees\nI'm open to working with mentees from diverse backgrounds! \n### What I can help with\nResearch projects have spanned various domains including cybersecurity, advertising technology, finance, computer vision and neuroscience.", "isFormerMentee" : false }, { "_id" : "D5qnxrrvpM9QGuBH5", "linkedInUrl" : "https://www.linkedin.com/in/sgoley/", "lastName" : "Goley", "firstName" : "Scott", "locationString" : "Orlando, FL, USA", "currentRole" : "Data Architect@Finexio", "domainFeatures" : [ "finance", "healthcare" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "projects", "oneOnOneCalls" ], "technicalFeatures" : [ "analytics", "dataEngineering", "timeSeries" ], "gitHubUrl" : "https://github.com/sgoley", "websiteUrl" : "https://justreadrtheinstructions.com", "readme" : "### About me\nData Architect @Finexio, Formerly Equity Trading Analyst @Deutsche Bank \n### What I expect from mentees\nI'm looking for mentees that are already technically comfortable with an ML environment (Python / R / Azure ML / Google ML Engine, etc.) already and are looking to take their project to the next level. I will provide insight on project structure, productionization, and distribution methods. \nSet yourself apart by working with me to develop your model into a service. Let's learn about monitoring your model, setting up watchers and alerts for things like massively out of bound outliers. \nI'm most comfortable working with someone who has a finance or fintech industry project focus but am open to others as needed.", "isFormerMentee" : false }, { "_id" : "xuffCGieuB7pWmKFB", "domainFeatures" : [ "gaming", "telecom" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "linkedInUrl" : "https://www.linkedin.com/in/natashaborders/", "lastName" : "Borders", "firstName" : "Natasha", "locationString" : "San Francisco, CA, USA", "gitHubUrl" : "https://github.com/natashaborders", "currentRole" : "Marketing Analytics at Ubisoft", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\n\nMy name is Natasha and currently, I work as a manager of Marketing Analytics at Ubisoft. I've been with Ubisoft for almost three years, with my primary area of focus being pre- and post-game launch marketing analytics and CRM analytics. My team and I work with both brands and marketing services teams to answer business questions, measure the impact of marketing activities, and help shape game strategy in all stages of development and after release.\n\nPrior to Ubisoft, I worked for a smaller Canadian start-up company, TextNow, which specializes in telecom. It provides a calling and texting app to customers with free and subscription business models. There, I worked as a data scientist, analyzing user behavior patterns to develop customer segments, model lifetime revenue, and predict customer retention.\n\nThe switch to data science/analytics as a career happened for me very quickly. In 2018 I moved to California for my partner's work and had to leave my previous career completely behind. I learned Python and SQL from scratch before enrolling in Metis (SF-based data science boot camp), and shortly after, becoming a SharpestMinds mentee. After an intense few months of study and applying to jobs, I had three offers, all due to the connections made while engaged in these two programs. \n\n\n### What I can help with\n\nI can help with:\n\n - Switching career fields and challenges that come with that\n - What to expect from working in a start-up vs. a larger company\n - What tools are needed to succeed in the analytics field\n - Picking an impactful project to show off your skills\n - Self-learning Python, SQL, Tableau, and others\n - Mock interviews, resume writing, networking, job search\n - Time management, planning, structure\n\n### What I expect from mentees\n\nI foremost expect honesty and communication. It's perfectly ok if you're not sure about what you'd like to do, what sort of company you're looking for, or how you could get where you would like to get. But you do have to be ready to put in the work.", "isFormerMentee" : true }, { "_id" : "F8DSZJzfx5ZsmCLhY", "domainFeatures" : [ "saas", "healthcare", "consulting" ], "technicalFeatures" : [ "nlp", "dataScience", "timeSeries" ], "linkedInUrl" : "https://www.linkedin.com/in/jiristodulka/", "lastName" : "Stodulka", "firstName" : "Jiri", "locationString" : "Toronto, Ontario, Kanada", "currentRole" : "Data Scientist", "gitHubUrl" : "https://github.com/jiristo", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "http://www.jiristodulka.com", "readme" : "# Hello World (of mentees)!\n\nI am a full-time Data Scientist at SGS&Co and work mostly with images and text data. I develop and deploy automated ML and solutions as product features for our company and clients. Also, I am the **lead of the discussion group ML in Economics** with [Aggregate Intellect](https://ai.science/). I also co-lead **Mathematics of DL** in past. I am former mentee and this is my payback! Looking for a likewise DS/ML excited person who wants to land a job in the industry. I want us to be a team and develop long-term relationship. I want to support you on your journey and make it possible and fast by transferring my own experience I've got during my mentee times.\n\n# About You\nYou should have basic knowledge of Python and be independent and hardworking. To get you a job ASAP, you will need to work hard and solve problems as they come. Landing a job in this field is not gonna be easy! But I've made it and I am going to make sure you are going to succeed as well!\nDo not know a lot of ML or engineering? It's fine! We are gonna either work out the transition and/or learning that together. I expect us to have weekly one-on-one call.\n\n\n# Technology I Can Help You With\n* ML/DL\n* RecSys, time-series, CV, NLP\n* Deployment with Docker and Kubernetes (via AWS, Azure, or GCP)\n* Python, SQL\n* **I want you to work on an open-source! We can start even today and make your contribution shine in your resume!**\n\n\n# Proposed pathway\nDepending on your needs and experience, I suggest this my help i in the following:\n\n## Business/consultancy phase\n * Define a problem you want to solve\n * Understand the impact and feasibility\n\n## Prototype e.g. minimal viable product (MVP)\n * As fast as possible, deploy a solution as an API end point (utilize what is available, e.g. APIs, existing\nrepositories)\n * Collecting the feedback for evaluation and future improvements\n\n## Innovation and Hustle\n * Identify ways to improve your solution\n * Gain technical knowledge to improve the solution; e.g. research, learning new technology/methodology\n * Implement and facilitate your innovative approach\n\n## Learning a.k.a. The Never Ending Phase\n * Identify what you need to master\n * Suggest tips\n * Connecting you with the experts in the fields\n * Suggest material to go through\n\n## Selling yourself and your solution\n * Personal website creation - you can see mine [here](www.jiristodulka.com)\n * Resume and GitHub detailing\n * Networking and self marketing - I can connect you the Aggregate Intellect community [Aggregate Intellect](https://ai.science/)\n\n## Job hunt\n * Forwarding job posts \n * Warm introductions to hiring managers (if they are in my network)\n * Mockup interviews", "isFormerMentee" : true }, { "_id" : "xETYSJKzfqN5tirwe", "linkedInUrl" : "https://www.linkedin.com/in/sushanth-kodali-74361a16/", "lastName" : "Kodali", "firstName" : "Sushanth", "locationString" : "New York, NY, USA", "currentRole" : "Data/Machine Learning Engineer", "domainFeatures" : [ "finance", "software", "saas" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "projects", "networking", "oneOnOneCalls" ], "technicalFeatures" : [ "recommenders", "nlp", "dataEngineering" ], "readme" : "### About me\nI am a software engineer with a CS/Math background. I graduated from Rutgers in 2014, and I've worked at Citi, Rollio, and TBWA. I am interested in developing and implementing machine learning software/products \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and general python ML libraries and are willing to commit >10 hrs per week on a Data Science/Data Engineering/Machine Learning project. I will provide code-review, and regular one-on-one meetings and can probably help the most with implementation and algorithmic discussion regarding software design and discussion of applications of algorithms and techniques in DS/ML/DE in various industries and fields. I'm especially interested in mentoring people who come from more fundamental CS backgrounds, but also people in various other fields with strong coding backgrounds who want to learn about ML/DS/DE.", "isFormerMentee" : false }, { "_id" : "uKCaSznfhHjbCBMyu", "linkedInUrl" : "https://www.linkedin.com/in/rahul-iyer-windsor/", "lastName" : "Iyer", "firstName" : "Rahul", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Strategy @ Scotiabank", "domainFeatures" : [ "logistics", "finance", "media" ], "technicalFeatures" : [ "analytics", "visualization", "webDevelopment" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Strategy @ Scotiabank; ex Manager Analytics @ SJC Media; ex Data Delivery Specialist @ Purolator \n### What I expect from mentees\nI'm looking for mentees that are more interested in website data collection and maintenance. This is a very essential field in data science and analytics which determines the quality of data, strategizing on how to best collect it and summarizing to business stakeholders to optimize website performance and design. I shall provide mentorship by taking you through the basics of Google Analytics, GTM, Adobe Launch and Adobe Analytics. A basic background in website structure - HTML/CSS and data visualization would be a plus. \n\nJobs in this filed are under the titles of Implementation Specialists, Digital Analysts, Analytics Managers etc.", "isFormerMentee" : true }, { "_id" : "BNZtji2dS2Tsuyk2g", "linkedInUrl" : "https://www.linkedin.com/in/xiyangchen/", "lastName" : "Chen", "firstName" : "Xiyang", "locationString" : "Toronto, ON, Canada", "currentRole" : "Head of Technology@Aggregate Intellect", "domainFeatures" : [ "software", "consulting", "digitalMarketing" ], "mentorshipOfferings" : [ "codeReview", "networking", "projects", "oneOnOneCalls", "mockInterviews" ], "technicalFeatures" : [ "deepLearning", "productionization", "webDevelopment" ], "readme" : "### About me\nCofounder & Head of Technology @Aggregate Intellect | ML Engineer @Rangle.io \n### What I expect from mentees\nI'm looking for mentees that are familiar with Python and JavaScript and are willing to commit >15 hours per week on machine learning and/or data engineering projects. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills.", "isFormerMentee" : false }, { "_id" : "rcjEW55Xf5at5swXk", "linkedInUrl" : "https://www.linkedin.com/in/alex000kim/", "lastName" : "Kim", "firstName" : "Alex", "currentRole" : "ML Engineer", "domainFeatures" : [ "consulting", "software", "media" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "projects", "oneOnOneCalls" ], "technicalFeatures" : [ "dataScience", "computerVision", "deepLearning" ], "gitHubUrl" : "https://github.com/alex000kim", "locationString" : "Montreal, QC, Canada", "isFormerMentee" : false }, { "_id" : "9spSpFTTQFwCSXMWi", "linkedInUrl" : "https://www.linkedin.com/in/pspenano", "lastName" : "Penano", "firstName" : "Palermo", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @Scotiabank", "domainFeatures" : [ "finance", "research" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "projects" ], "technicalFeatures" : [ "tabular", "analytics", "dataScience" ], "websiteUrl" : "http://ppenano.com/", "readme" : "### About me\nData scientist @Scotiabank. Expertise in Python programming, machine learning (tabular and NLP), and cloud computing (using GCP). Previous experience in economic research. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python (including pandas, scikit-learn, etc.) and willing to commit >15 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm open to mentoring all backgrounds.", "isFormerMentee" : false }, { "_id" : "aoK9XpEZ9EQHWtcJW", "linkedInUrl" : "https://www.linkedin.com/in/rubychilds1/", "lastName" : "Childs", "firstName" : "Ruby", "locationString" : "New York, NY, USA", "currentRole" : "Data Scientist @ Runway ML", "domainFeatures" : [ "edtech", "finance", "socialMedia" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls" ], "technicalFeatures" : [ "nlp", "dataScience", "recommenders" ], "readme" : "### What I expect from mentees\nI'm looking for mentees, that are upskilling within data science - either for career advancement of complete career changers. You should hopefully be making good steps on your own, such as actively learning to code, taking online courses and beginning to form projects on your own. I know finding time can often be hard to do, and you may have responsibilities that mean time can be limited. I am very understanding of these and would expect you to be spending a few hours a week towards your goals. \n\nI'm happy to help mentees with code-reviews, guidance on resources, learning directions and creating a syllabus and discussions on data science concepts and applications.", "isFormerMentee" : false }, { "_id" : "DsruuKGsMpDv4YEfH", "linkedInUrl" : "https://www.linkedin.com/in/saleem4/", "lastName" : "Ahmed", "firstName" : "Saleem", "locationString" : "Buffalo, NY, USA", "currentRole" : "Doctoral candidate", "domainFeatures" : [ "selfDriving", "research", "software" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls" ], "technicalFeatures" : [ "computerVision", "deepLearning", "nlp" ], "readme" : "### About me\nDoctoral Candidate @CUBS | ex Ericsson Santa Clara \n### What I expect from mentees\nContact me for long/short term research projects (expect a publishable paper, atleast on arxiv if not a conference/journal)\n\nWorking knowledge of a deep learning library like Pytorch would be expected. \nBonus if you know pandas, numpy, matplotlib.\n\nI am willing to contribute on the research front, writing of the paper, shaping the experiments etc. You'd be doing the heavy lifting in terms of implementing the model architectures/ experiments etc. \n\nIf you have any future plans towards a PhD/ industrial research in computer vision related tasks, do drop me a note. \n\nI'm also open to having someone who has zero interest in research but has superb coding skills who would like to complete rapid prototypes on cutting edge research projects.", "isFormerMentee" : false }, { "_id" : "5mwxBgw9Ld5STBSeQ", "linkedInUrl" : "https://www.linkedin.com/in/christopherpetermakris/", "lastName" : "Makris", "firstName" : "Christopher Peter", "currentRole" : "Lead Data Scientist", "domainFeatures" : [ "consulting", "socialMedia", "digitalMarketing" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews", "projects", "networking", "codeReview" ], "technicalFeatures" : [ "dataScience", "unsupervised", "analytics" ], "locationString" : "Denver, CO, USA", "readme" : "### About me\nStatistician | Data Scientist | Machine Learner | Outlier | Indiscrete Mathematician | Logician | The μ to your σ² \n### What I expect from mentees\n\"Experience is what you get when you didn't get what you wanted. And experience is often the most valuable thing you have to offer.\" - Randy Pausch\n\nI am looking for a mentee that is willing to make mistakes — but, more so, is willing to learn from them. Data Science is just as much of an \"art\" as it is a \"science,\" so being comfortable with data ambiguity and seeking to uncover insights will be tantamount skills for long-term success.\n\nAs a Master of Statistical Practice with over a decade of combined experience problem-solving in statistics, logic, and discrete mathematics, I have developed the types of skills necessary to isolate a problem and construct a solution. My professional experience runs the gamut of client-facing endeavors. From standing as an operational lead, instructor, and mentor as the Director of Data Science for dozens of students at the NYCDSA, to informing brands’ perceptions in the social sphere and dictating strategy for \"going viral,\" the underscore to my responsibilities is singular: the ability to uncover insights from data and deliver recommendations geared towards satisfying clients’ marketing, financial, educational, and business goals.\n\nWhile I work quickly and efficiently on my own, I take pride collaborating among driven individuals and bringing out the best in those who love what they do and want to make a difference; I love what I do — I want to make a difference. This willingness is an asset that has not only allowed for the gain of firsthand industry experience, but also the gauge of logistic responsibilities required of a social leader.\n \nNever fearful — but excited — in the face of quandaries, I gladly follow the mottoes of my almae matres to “do it with thy might,” as “my heart is in the work.”\n\nI can provide a plethora of Data Science job preparation training and coaching including, but not limited to, the following:\n-Advanced mathematics/statistics/linear algebra review.\n-Machine learning algorithm walkthroughs.\n-Data science project implementation.\n-Insight generation and communication to professional audiences.\n-R and/or Python code review.\n-Technical & behavioral interview preparation.\n-Résumé, cover letter, & LinkedIn profile preparation.\n-One-on-one meetings (i.e., via phone, Google Hangout, Skype, or in-person if local).\n\nMentee candidates should have most of the following assets:\n-Comfort with R and/or Python programming.\n-Familiarity with basic applied statistics.\n-A background in the STEM field.\n-Good communication skills.\n-A passion and drive for learning.\n\nYou have to be outside of your comfort zone to grow — let's grow together! \n### What I can help with\nI have 3,000+ hours of teaching experience in statistics, data science, machine learning, and statistical programming.", "isFormerMentee" : false }, { "_id" : "xzESaxbxd9yMttgZ2", "linkedInUrl" : "https://www.linkedin.com/in/dalila-benachenhou/", "lastName" : "Benachenhou", "firstName" : "Dalila", "locationString" : "Washington, DC, USA", "currentRole" : "Data Scientist", "domainFeatures" : [ "government", "consulting", "finance" ], "mentorshipOfferings" : [ "codeReview", "projects", "oneOnOneCalls" ], "technicalFeatures" : [ "nlp", "anomalyDetection", "dataScience" ], "isFormerMentee" : false }, { "_id" : "zvj3MzyvTuQf9KsXS", "linkedInUrl" : "https://www.linkedin.com/in/arunramkalaiselvan", "lastName" : "Kalaiselvan", "firstName" : "Arunram", "locationString" : "Los Angeles, CA, USA", "currentRole" : "Director of Engineering", "domainFeatures" : [ "software", "saas", "healthcare" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "visualization", "dataEngineering", "webDevelopment" ], "readme" : "### About me\nDirector of Engineering @chronicledinc, co-founded @blockdaemon, formerly @madhive @modusops @vizbee @lookbooks", "isFormerMentee" : false }, { "_id" : "GiyuC65jZuvFNKpSd", "linkedInUrl" : "https://www.linkedin.com/in/amirsina/", "lastName" : "Eskandarifar", "firstName" : "Amirsina", "currentRole" : "Data Scientist at Interac", "domainFeatures" : [ "finance", "saas", "manufacturing" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "anomalyDetection", "tabular", "dataScience" ], "locationString" : "Toronto, ON, Canada", "readme" : "### What I expect from mentees\nI'm looking for sharp and smart students looking for entering the data science world, someone preferably from STEM background (science, technology, engineering, math) and eager to find answers on their own. Depending on the project we define, I can offer one on one code reviews. Also, I can give job hunting hints, share my network, and work on presentation and interview skills.\n\nI believe this mentorship experience should be practical and professional as it should be fun. \n### What I can help with\nPython (Pandas, skit-learn, seaborn, TensorFlow, Keras), SQL (MySQL or Oracle), Spark (PySpark), Tableau", "isFormerMentee" : false }, { "_id" : "fzzZPbBy8qa8qRWeW", "linkedInUrl" : "https://www.linkedin.com/in/belal-aboabdo-85022313b/", "lastName" : "Aboabdo", "firstName" : "Belal", "locationString" : "Los Angeles, CA, USA", "currentRole" : "Lead Data Scientist @Slated", "domainFeatures" : [ "saas", "finance", "research" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews", "codeReview" ], "technicalFeatures" : [ "deepLearning", "dataScience", "nlp" ], "readme" : "### About me\nLead Data Scientist @Slated, Former Data Scientist @American Express, Former ML Research Intern @IBM \n### What I expect from mentees\nI'm looking for mentees that are passionate to learn about machine learning and ideally have some foundational math/stats knowledge. Being comfortable coding in Python is a plus but willing to help mentees develop their programming skills and provide one on one meetings to work on data science projects.", "isFormerMentee" : false }, { "_id" : "x3sMYC6ieqEzPyb2s", "linkedInUrl" : "https://www.linkedin.com/in/ian-burgess-35966337/", "lastName" : "Burgess", "firstName" : "Ian", "locationString" : "Toronto, ON, Canada", "currentRole" : "CTO @ Validere", "domainFeatures" : [ "naturalResources", "healthcare", "research" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "projects", "oneOnOneCalls", "codeReview" ], "technicalFeatures" : [ "dataScience", "analytics", "anomalyDetection" ], "readme" : "### About me\nFounder & CTO @ Validere (YC S16), Senior Venture Partner @ Pioneer Fund, 12 years data science and research in energy, biotech, materials science, optical & quantum information processing. PhD in applied physics (Harvard '12) \n### What I expect from mentees\nI am looking for mentees who are highly motivated, may have basic technical skills, but little experience applying them to solve the kind of problems they are likely to encounter in a job. I will also help with networking, job search, interview prep, etc. In my experience, what separates great data scientists from OK ones is a fluency in translating back and forth between math problems (e.g. quantify causal relationship between variables X and Y) and their corresponding meaning in plain language (e.g. how much will increasing housing supply cool the housing market?). The best data scientists can take a roughly defined stakeholder objective and: 1) figure out how to reformulate it into a series of precise questions, 2) identify the right data and right experiments to answer these questions, 3) ignore the data and questions that are not relevant to the objective, and 4) present the results to stakeholders in an understandable way that cuts directly to the core of the problem. My mentorship program will focus on building these skills. I will guide mentees looking for a technical project through a real-world research problem related to economics and public policy that can be addressed with publicly available datasets. In parallel I will help them identify job opportunities and help with search/networking/resumes/interview prep etc. If a mentee only wants help with networking/job search and does not want to work on a project, I am happy to do that as well. There is no minimum duration of commitment for the mentee. The goal is to help you get started in a job that suits your ambitions as fast as possible. However, if you are interested in working on them for long enough, all research problems should lead to results that are publishable in leading academic journals. Note: I have set up a separate SharpestMinds account for mentees interested in an internship at Validere. Please reach out to that account if this is what you are interested in (feel free to reach out to both if you aren't sure).", "isFormerMentee" : false }, { "_id" : "Fku9yKP6KknAuyvzk", "linkedInUrl" : "https://www.linkedin.com/in/betty-rui-zhang-0bb63731/", "lastName" : "Zhang", "firstName" : "Betty", "currentRole" : "Data Scientist @Rubikloud", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "retail", "telecom" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "tabular", "recommenders" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData scientist @Rubikloud; formerly @Bell; works on end-to-end data science pipelines \n### What I can help with\nWorking with dirty data; making the most from small datasets; tabular data; recommender systems; tree-based models; linear models", "isFormerMentee" : false }, { "_id" : "XwNn6TppjPLmrxNwr", "domainFeatures" : [ "socialMedia", "finance", "realEstate" ], "technicalFeatures" : [ "dataScience", "nlp", "devops" ], "linkedInUrl" : "https://www.linkedin.com/in/nadimkawwa/", "lastName" : "Kawwa", "firstName" : "Nadim", "locationString" : "San Francisco, CA, USA", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "currentRole" : "Data Scientist", "gitHubUrl" : "https://github.com/nadimkawwa", "websiteUrl" : "https://medium.com/@nadimkawwa", "readme" : "### About me\n\nHello!\nMy name is Nadim and I am a Data Scientist. I was formerly a sharpest minds mentee, and I have gone through the journey you are about to embark on.\n\nMy background is in structural engineering and I was a bridge engineer for 7 years. My interest in programming began with a desire to automate workflows and innovate. Eventually I found myself drawn to DS/ML and wanted to make the switch to a full time position.\n\nI currently work at a startup called Prophia that does lease abstraction for commercial real estate. Being at a startup means wearing multiple hats and having full ownership of a project. \n\nI live in San Francisco, CA but I grew up in Beirut, Lebanon.\n\n### What I can help with\n- **Building your skills to become job ready**: Where do you excel? Where do you have gaps to fill?\n- **Interview Prep**: I interviewed a lot and know what it's like to be in the hot seat. Eventually I learned the rhythm to interviews and can help you get there.\n- **Code review**: Over time, data science is becoming closer to SWE. Showing solid coding choices will make you stand out.\n- **How to effectively communicate your qualifications**: Ultimately the most important skill. I regularly present in front of audiences ranging from teammates to potential clients.\n\n### What I expect from mentees\n\n- **10-20 hours commitment per week**: It's an exciting journey but not an easy one.\n- **Direct and honest communication**: we're both on the same team. If something comes up in life or you're feeling overwhelmed just let me know.\n- **Curiosity**: are you genuinely interested in this wide ill-defined field we call DS?", "isFormerMentee" : true }, { "_id" : "EFSnFJFoYv5tkj6wt", "linkedInUrl" : "http://linkedin.com/in/adityasrs/", "lastName" : "Subramanian", "firstName" : "Aditya", "locationString" : "San Francisco, CA, USA", "currentRole" : "Machine Learning Engineer @ Instacart", "domainFeatures" : [ "retail", "insurance" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "codeReview", "networking" ], "technicalFeatures" : [ "computerVision", "nlp", "productionization" ], "readme" : "### About me\nMachine Learning at Instacart, previously @WalmartLabs, University of Illinois at Urbana-Champaign \n### What I expect from mentees\nI'm looking forward to collaborating on technically challenging and interesting problems that align with the mentee's interests. From problem ideation to production deployment, I would like to work together to get the most out of our time, with one-on-one meetings, code reviews, and project check ins set up as required. My technical interests are in deep learning applications, ranging from self driving cars to search ranking, but am open in chatting about other machine learning problems as well.", "isFormerMentee" : false }, { "_id" : "3TDcKnSECco7Pjv4m", "linkedInUrl" : "https://linkedin.com/in/isenbaev", "lastName" : "Isenbaev", "firstName" : "Vladislav", "locationString" : "San Francisco, CA, USA", "currentRole" : "Research Engineer @ Nuro.ai", "domainFeatures" : [ "selfDriving", "socialMedia" ], "mentorshipOfferings" : [ "projects", "mockInterviews", "codeReview", "oneOnOneCalls" ], "technicalFeatures" : [ "deepLearning", "computerVision", "unsupervised" ], "readme" : "### About me\nResearch Engineer @Nuro.ai\nPrior to Nuro, worked at GM Cruise for 1.5 years and at Facebook for 5 years", "isFormerMentee" : false }, { "_id" : "nZvCZ6s4a3iSmXxyM", "linkedInUrl" : "https://www.linkedin.com/in/tahamokfi", "lastName" : "Mokfi", "firstName" : "Taha", "locationString" : "New York, NY, USA", "currentRole" : "Principal Data Scientists", "domainFeatures" : [ "finance", "insurance", "consulting" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "oneOnOneCalls", "projects", "networking" ], "technicalFeatures" : [ "dataScience", "analytics", "deepLearning" ], "readme" : "### About me\nI am a Principal data scientist at HelloFresh and have more than 8 years of experience in data science and machine learning.\n\n### What I expect from mentees\nI am ready to help mentees from a variety of backgrounds. Having more than 5 years of experience in mentoring data scientist, based on the mentees' career objective I can provide customized learning and job preparation strategies. Mentees should commit to a reasonable amount of time (usually between 5 to 10 hours weekly) to work on the real-world data science projects that will be provided to them. \n\n### What I can help with\nMachine Learning, Deep Learning, Python, R, Spark, H2O, Classification, Statistical Theories, Clustering, Ensemble modeling", "isFormerMentee" : false }, { "_id" : "d6kYok37jK4YmfJoB", "lastName" : "Burgess", "firstName" : "Ian", "locationString" : "Toronto, ON, Canada", "currentRole" : "CTO @ Validere", "domainFeatures" : [ "naturalResources" ], "linkedInUrl" : "https://www.linkedin.com/company/10389765/admin/", "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "readme" : "### About me\nValidere builds AI & IoT intelligence to optimize oil & gas quality, logistics and trading. (Note: this mentorship account is for people interested in internships at Validere) \n### What I expect from mentees\nPlease apply to this account if you are interested in a data science or data engineering internship at Validere. If you are interested in mentorship from me outside of a role at Validere, please apply to the separate account I set up here instead (https://app.sharpestminds.com/apply-to-mentor/x3sMYC6ieqEzPyb2s). You can apply to both if you are not sure what you want. We have internship openings in data engineering (building data pipelines, product integrations, etc.) and in data science. Data science interns work mostly on expanding our analytics to new types of problems that we have not seen before. The beginning of a project looks a lot like consulting, followed by productization and automation of the solution once it has been designed and vetted. All our internships are an ideal 'first data science job' for someone highly motivated and capable of learning at a fast pace. No experience required.", "isFormerMentee" : false }, { "_id" : "Trv8SjQcWWu7HsAmP", "linkedInUrl" : "https://www.linkedin.com/in/carl-jackson-17328b52", "lastName" : "Jackson", "firstName" : "Carl", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @RBC", "domainFeatures" : [ "finance", "research" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "analytics", "nlp", "dataScience" ], "readme" : "### About me\nData scientist @RBC; former freelance developer and researcher into the neuroscience of human movement \n### What I expect from mentees\nTBD", "isFormerMentee" : false }, { "_id" : "C8jaXZ5enQxwsBM8D", "linkedInUrl" : "https://www.linkedin.com/in/ashaabana/", "lastName" : "Shaabana", "firstName" : "Ala", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Engineer @ Instacart", "domainFeatures" : [ "research", "software", "saas" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "deepLearning", "dataScience", "visualization" ], "gitHubUrl" : "https://github.com/shibshib", "readme" : "### About me\nSenior Engineer @ Instacart, formerly @VMware leading innovations in pattern recognition in hyper-converged infrastructures, Ph.D. in human-centric sensing: Full end-to-end products from hardware design to application stack to machine learning layer to sense human outputs of heat and electricity. \n### What I expect from mentees\nLooking for advanced level mentees -- must be comfortable with Python and willing to commit 5-10 hours per week on a Data Science project. I will provide system design guidance, code-review, and regular one-on-one meetings. Ideally mentees will finish the project learning how to deploy a system from end to end complete with pipelines, containerization (as needed), as well as model predictions and reinforcement learning. Mentees with knowledge in math/stats/hard STEM are preferred but as stated, beginners are also welcome and am open to a chat if your skills are not quite a match.", "isFormerMentee" : false }, { "_id" : "2SzqL23xh2Jb6cATk", "firstName" : "Kailuo", "lastName" : "Liu", "linkedInUrl" : "https://www.linkedin.com/in/cairoliu", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "finance", "consulting", "research", "retail" ], "technicalFeatures" : [ "dataScience", "analytics", "nlp", "deepLearning", "timeSeries" ], "currentRole" : "Data Scientist", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\n\nMy name is Kailuo (Cairo) Liu and I am a Data Scientist.\n\nWith a background in engineering, I specialized in social science and earned my PhD in quantitative marketing from the University of Toronto. I have work experience in a fintech startup, a data consulting firm, and a big tech company called Tencent. I am familiar with most aspects of data science and expert in NLP and time series models. \n\n### What I can help with\n\n1. Develop a plan and give guidance on learning DS/ML\n2. Guidance on DS/ML projects\n3. Resume/Linkedin polish\n4. Networking and interview strategies and practices\n5. General sufferings in life\n\n### What I expect from mentees\n\nI'm looking for mentees that are motivated and can handle failures courageously.", "isFormerMentee" : true }, { "_id" : "zBr6nNKyNpmt7sSqy", "linkedInUrl" : "https://www.linkedin.com/in/jamie-chen/", "lastName" : "Chen", "firstName" : "Jamie", "locationString" : "Bellevue, WA, USA", "currentRole" : "Data Scientist @Microsoft", "domainFeatures" : [ "consulting", "saas" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "networking", "projects" ], "technicalFeatures" : [ "nlp", "dataScience", "recommenders" ], "readme" : "### About me\nData scientist @ Microsoft News Personalization, formerly econ analyst @ Ernst & Young \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide project feedback, and regular one-on-one meetings and can probably help the most if you're interested in building your product data science skills. I'm especially interested in mentoring someone from math/stats/hard STEM with prior industry working experience.", "isFormerMentee" : false }, { "_id" : "oPQqHPfx9LEomAfKg", "linkedInUrl" : "https://www.linkedin.com/in/raghavender-s-a013167b/", "lastName" : "Sahdev", "firstName" : "Raghavender", "locationString" : "Toronto, ON, Canada", "currentRole" : "Co-founder and CEO", "domainFeatures" : [ "robotics", "selfDriving", "research" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "mockInterviews", "codeReview", "networking" ], "technicalFeatures" : [ "computerVision", "deepLearning", "dataScience" ], "readme" : "### About me\nComputer Vision, Robotics, Machine Learning, Deep Learning\n\nAbout me, visit: https://www.raghavendersahdev.com/ . I am a Computer Vision and Robotics professional with interests spanning the fields of Machine Learning and Deep Learning. My aim is to pursue research and develop innovative products which have real world applications and are of good use to the world. I want to become a researcher cum entrepreneur.\n\nBrief Bio:\nRaghavender is one of Canada's leading AI entrepreneurs and currently the Co-founder and CEO of NuPort Robotics. He has expertise in the field of Applied AI & Robotics. He obtained his Masters in Computer Vision based Robotics from York University with his research on person following robots receiving multiple best paper awards and media attention (Discovery Channel, Globe and Mail, York University Magazine). He recently worked as a Senior Computer Vision Engineer at Huawei Technologies. He has been an AI Scientist in Residence for the 2018 NextAI cohort advising start-ups. He has been a reviewer for the International Journal of Robotics Research (IJRR). He has contributed to open source projects like MRPT and OpenRobotics (OSRF) sponsored by Google. He’s been an active member of the NSERC Canadian Field Robotics Network since 2015 and has collaborated with organizations like University of Toronto, EPFL Switzerland, INCF Belgium. He is frequently attending research conferences worldwide to broaden his outreach and knowledge. Raghavender has upto 8 years of robotics experience. He has travelled (only for research and entrepreneurship) in over 20 cities in over 7 different countries (in the last 4-5 years) to know the scientific state of the art AI (Robotics, Computer Vision, Machine Learning) systems. Through his traveling and interactions with researchers, entrepreneurs, etc., he has gathered a vast amount of business as well as scientific knowledge and has a strong intuition about these AI systems.", "websiteUrl" : "http://www.raghavendersahdev.com", "isFormerMentee" : false }, { "_id" : "4qe88RR2YxpMwhqgR", "linkedInUrl" : "https://www.linkedin.com/in/lediona-nishani-ph-d-31413b2a/", "lastName" : "Nishani", "firstName" : "Lediona", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @Veeva Systems", "domainFeatures" : [ "healthcare", "research", "customerSupport" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "networking", "projects", "codeReview" ], "technicalFeatures" : [ "nlp", "dataScience", "deepLearning" ], "readme" : "### About me\nI am an accomplished data scientist with a bold vision of how AI and machine learning algorithms can positively impact a growing number of industries, particularly in health care.\nWith research experience spanning both the academic and industrial spheres, at Veeva, my work focuses primarily on NLP and extracting entities for automating the Adverse Event intake \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, networking support, and regular one-on-one meetings and can probably help them in landing their first job in data science. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "nCkHszF5K4DxjvSAv", "linkedInUrl" : "https://www.linkedin.com/in/jwong4494", "gitHubUrl" : "https://github.com/swong28", "lastName" : "Wong", "firstName" : "Jason", "domainFeatures" : [ "finance", "dataForGood", "eCommerce" ], "technicalFeatures" : [ "dataEngineering", "productionization" ], "currentRole" : "Data Engineer", "locationString" : "New York, NY, USA", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "**About Me**\n\nI am Jason and currently a data application engineer at Google. I was previously a data engineer at Harry’s and Walmart, and a SharpestMinds alumna. I have completed the journey to transition (from Mechanical Engineering) into the data industry and would like to help others who are currently in the progress.\n\n**What I expect from my mentees**\n- 10 - 20 hours per Week\n- Be direct with your needs and communications\n- Be prepared\n\n**What I can help you with**\n\nI'd like to help mentees to transition into a role they desire. I'm happy to collaborate with mentees on:\n\n- Complete a business orientated data project with software development best practices;\n- Practicing technical and non-technical communication;\n- Your resume;\n- Other prep as needed.\n\n**When reaching out, please address the following:**\n\n1. Your technical background,\n2. What (specifically) you're looking for in your next role,\n3. Where you are in the interview process, and\n4. What (specifically) you're looking for in a mentor.", "isFormerMentee" : true }, { "_id" : "8qbMCDmvumhSrqigt", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "domainFeatures" : [ "digitalMarketing" ], "technicalFeatures" : [ "dataScience", "productionization", "dataEngineering" ], "linkedInUrl" : "https://www.linkedin.com/in/kiril-tsemekhman-a6981a2/", "lastName" : "Tsemekhman", "firstName" : "Kiril", "locationString" : "New York, NY, USA", "readme" : "### About me\nFormer physicist and VP of Data Science @BounceX. I build data science and technology teams, solve complex business problems by developing strategic data and technology products, lead innovation and develop data strategy, and develop strategic partnerships to execute the strategy. \n### What I can help with\nProduct development, deriving business value from machine learning and data science, networking and business strategy.", "isFormerMentee" : false }, { "_id" : "jnNL3qjkswE56oyCx", "linkedInUrl" : "https://www.linkedin.com/in/msingh860710/", "lastName" : "Singh", "firstName" : "Mohitdeep", "locationString" : "San Francisco, CA, USA", "currentRole" : "Sr. Scientist @ Pandora", "domainFeatures" : [ "media", "robotics", "research" ], "technicalFeatures" : [ "recommenders", "dataScience", "deepLearning" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "mockInterviews", "projects" ], "readme" : "### About me\nSr. Scientist @ Pandora, Former Intel Labs, CMU alum. \n### What I expect from mentees\nI am looking for mentees who are:\n1) Curious\n2) Motivated\n\nAs far as technical skills go:\n1) Have a programming background\n2) Have quantitative aptitude (roughly translates to have some 101 knowledge regarding Stats, Linear Algebra, Optimization)", "isFormerMentee" : false }, { "_id" : "bKeZkGdXSRQyuXSQ7", "linkedInUrl" : "https://www.linkedin.com/in/ayodeleodubela/", "lastName" : "Odubela", "firstName" : "Ayodele", "locationString" : "Washington, DC, USA", "currentRole" : "Data Scientst with a focus on Ethical & Responsible AI", "domainFeatures" : [ "saas", "transportation", "consulting" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "mockInterviews", "networking", "codeReview", "resumeAndLinkedInReview" ], "technicalFeatures" : [ "dataScience", "productionization", "nlp" ], "gitHubUrl" : "https://www.github.com/ayodeleohh", "websiteUrl" : "http://www.ayodeleodubela.com", "readme" : "### About me\nHi! I'm Ayodele and I run a consultancy helping tech companies develop, audit, and deploy machine learning. I've alwayws wanted to be a teacher and given my own career transition into Data Science, mentoring is one small way I get to do that. *I'm especially suited to help people who are making a career transition/pivot.* I completed my MS in Data Science in 2018 and have worked on object identification with sensor data, predicting mobile user behavior, estimating driver risk, and auditing AI algorithms in HR.\n\n### What I expect from mentees\nI'm looking for mentees that are somewhat comfortable with Python and are willing to commit 5-10 hrs per week on full-stack Data Science project OR focus on landing a data role. I will provide one-on-on meetings, mock interviews, code review, networking, and can help building your technica; skills. \n\n### What I can help with\nPython, Statistics, SQL, Tableau, Alteryx, NLP, Interview Prep", "isFormerMentee" : false }, { "_id" : "eZQZbZhfCAP5Cbxua", "linkedInUrl" : "https://www.linkedin.com/in/shreyas-becker/", "lastName" : "Becker", "firstName" : "Shreyas", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist @ Boston Consulting Group", "domainFeatures" : [ "healthcare", "finance", "consulting" ], "mentorshipOfferings" : [ "mockInterviews", "projects", "networking" ], "technicalFeatures" : [ "dataScience", "nlp", "recommenders" ], "readme" : "### About me\nShreyas solves problems by working in the continuum of Business, Math & Technology. He is passionate about data-driven decision making and insights driven strategy. He has worked with several Fortune 500 organizations(BFSI, Pharma, Entertainment, Retail) through PwC & Mu Sigma. He holds a MBA from U \n### What I expect from mentees\nExpectation from mentees : Inclination/ Interest to write production level code. Entrepreneurial thinking. Some baseline understanding of python\n\nWhat they can expect from me: Clear plan & networking opportunities (Amazon, Google, BCG, Mckinsey etc.,). Guidance to build products in a collaborative work environment. Chance to develop some really interesting products \n### What I can help with\nPython. Machine learning, Federated learning, Deep&wide learning", "isFormerMentee" : false }, { "_id" : "SdbMhAHC3EFS2twvs", "lastName" : "Hamouni", "firstName" : "Parham", "locationString" : "Toronto, ON, Canada", "currentRole" : "Looking for data science role", "linkedInUrl" : "https://www.linkedin.com/in/parhamhamouni/", "domainFeatures" : [ ], "technicalFeatures" : [ ], "isFormerMentee" : true }, { "_id" : "tahHhCMnEmw2sGkgF", "linkedInUrl" : "https://www.linkedin.com/in/vibhorkaushik/", "lastName" : "Kaushik", "firstName" : "Vibhor", "locationString" : "Seattle, WA, USA", "currentRole" : "Senior Data Scientist", "domainFeatures" : [ "insurance", "healthcare", "saas" ], "technicalFeatures" : [ "dataScience", "nlp", "unsupervised" ], "mentorshipOfferings" : [ "oneOnOneCalls", "codeReview", "mockInterviews", "projects" ], "readme" : "### About me\nI have 5 years of industrial experience in Data Analytics and Machine Learning using python and R. I have filed 3 patents in the field of Machine Learning:\n1) System and Method for Capacity Prediction\n2) Highly Scalable Incremental TF-IDF automatic feature extraction for unstructured log data. \n### What I expect from mentees\nI'm looking for mentees that have basic knowledge of Python and willing to commit at least 5 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm especially interested in mentoring someone who is passionate about Machine Learning and Data Science but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "2JwxaHKLnLyrMN76p", "linkedInUrl" : "https://www.linkedin.com/in/aswiniprasad/", "lastName" : "Prasad", "firstName" : "Aswini", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "hardware", "selfDriving" ], "technicalFeatures" : [ ], "mentorshipOfferings" : [ "mockInterviews", "networking", "projects" ], "currentRole" : "Director of Hardware Engineering", "readme" : "### What I expect from mentees\nI am looking for mentees who have the self drive and technical acumen in data analytics, preferably with strong background in mathematics. I can help with introducing to real world data problems, business needs around data and making relevant connections.", "isFormerMentee" : false }, { "_id" : "CALSJSXjh4PWojPzC", "firstName" : "Suhas", "lastName" : "Pai", "linkedInUrl" : "https://www.linkedin.com/in/piesauce/", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "socialMedia", "legal", "finance" ], "technicalFeatures" : [ "nlp", "deepLearning", "unsupervised" ], "currentRole" : "Machine Learning Researcher / CTO", "gitHubUrl" : "https://github.com/piesauce", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "https://www.piesauce.com", "readme" : "Hello (potential) mentee! I wish you a successful internship at SharpestMinds and a thriving career in ML ahead. \n\nHere is what I can provide as a mentor:\n\n* Opportunity to work on NLP research projects with me and my teammates that could potentially lead to paper publications - Topics I am currently working on - language models (efficiency/interpretability), controlled text generation and privacy-preserving NLP \n* If that is not your cup of tea, i would be glad to guide you in building an impactful and novel end-to-end NLP project.\n* I can help out with mock interviews and interview preparation.\n* I am in the Steering Committee of multiple ML organizations in the Toronto area. I can help in providing you exposure to the larger ML ecosystem in Canada and beyond.\n\nWhat I expect from you: \n\n* Quest for excellence - Regardless of your current confidence/skill level, I strongly believe with the right amount of willpower and perseverance, you can create a lot of impact through your ML project and secure a strong foothold in the industry. I would like to see a steadfast commitment to excellence in you. \n* Technical Rigor - If you don't like taking half measures; if you like to immerse yourself in a project and have a lot of fun in the process, I think we are going to be a good fit!\n\nWhile I am open to working with all kinds of mentees, I am particularly interested in helping out folks who are facing systemic barriers to a successful career in ML - whether it is because you are a new immigrant or you come from a unconventional educational background. \n\n**About me: **\nI am a CTO at an early-stage startup in Toronto where I primarily work on NLP research and development. I have been in the CS field for well over a decade now with substantial experience in information security, information retrieval, and machine learning. In my free-time I work on independent NLP research projects. I write a weekly newsletter on the latest in ML research and host Youtube shows featuring authors of the most impactful recent papers in NLP. I am the NLP lead at AISC (ai.science) and along with my team, we create a lot of NLP related content for researchers and practitioners.", "isFormerMentee" : true }, { "_id" : "uSbgQ2hYZxDYtTzQH", "linkedInUrl" : "https://www.linkedin.com/in/felipe-mejia/", "lastName" : "Mejia", "firstName" : "Felipe", "locationString" : "Menlo Park, CA, USA", "domainFeatures" : [ "research", "dataForGood" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "computerVision", "deepLearning", "dataScience" ], "currentRole" : "Data Scientist", "readme" : "### About me\nI am a Data Scientist at Lab41 were I have worked on both denoising audio data and evaluating the privacy of machine learning models to model inversion attacks. Before Lab41 I was in the Insight Data Science Program where I was an Artificial Intelligence Fellow. I have a Bachelor of Science in Mechanical Engineering from Duke University and a Ph.D in Mechanical Engineering from the University of California, San Diego, as a National Science Foundation Fellow.", "isFormerMentee" : false }, { "_id" : "ter65dmX7vJ7ANDYY", "linkedInUrl" : "https://www.linkedin.com/in/dominicklim/", "lastName" : "Lim", "firstName" : "Dominick", "locationString" : "Mountain View, CA, USA", "currentRole" : "Software Engineer @Google", "domainFeatures" : [ "robotics", "software", "research" ], "technicalFeatures" : [ "computerVision", "deepLearning", "webDevelopment" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls" ], "readme" : "### About me\nSoftware Engineer @Google Photos Machine Intelligence; previously @Planet Labs, @Romotive \n\n### What I expect from mentees\nI’m looking for mentees that communicate well and will make the most of both of our time by preparing clear agendas for our meetings. The ideal mentee for me is:\n- from an underrepresented group in tech\n- looking to transition to data science/ML from another industry/academic background\n- already comfortable with coding and math\n\nI can probably be most helpful with code review, iterating on models, and mock interviews. I’m happy to help in other areas, and am open to preliminary chats to see if there is a fit. If there’s a fit, we can meet one-on-one on a regular basis.", "isFormerMentee" : false }, { "_id" : "RGPy2phmTF5He7Ciz", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "domainFeatures" : [ "finance", "research", "legal" ], "technicalFeatures" : [ "nlp", "timeSeries", "deepLearning" ], "linkedInUrl" : "https://www.linkedin.com/in/shavitamit/", "lastName" : "Shavit", "firstName" : "Amit", "locationString" : "Philadelphia, PA, USA", "currentRole" : "Principal Data Scientist", "gitHubUrl" : "https://github.com/shavitamit", "websiteUrl" : "http://shavitamit.github.io", "readme" : "### About me\nPrincipal Data Scientist @Fidelity Investments; building state-of-the-art models in the finance space. \n### What I can help with\nHigh-performance computing, time series modeling / forecasting, seq2seq, attention models, PyTorch, Keras", "isFormerMentee" : false }, { "_id" : "PCSAhsn92SPzkXcsh", "domainFeatures" : [ "finance", "research", "consulting", "socialMedia", "retail", "insurance" ], "technicalFeatures" : [ "nlp", "visualization", "dataScience", "timeSeries", "deepLearning" ], "linkedInUrl" : "https://www.linkedin.com/in/taraneh-khazaei/", "lastName" : "Khazaei", "firstName" : "Taraneh", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist", "websiteUrl" : "https://taranehkh.github.io/info/", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\n- Data scientist @Microsoft: helping Azure clients from a wide variety of industries (e.g., finance, insurance, and retail) solve, build, and deploy their AI solutions\n- Deep learning instructor at WeCloudData\n- PhD in computer science focused at ML/NLP \n### What I can help with\nDeep Learning, Natural Language Processing, Cloud Computing, Spark", "isFormerMentee" : false }, { "_id" : "n7sm6q8GJGPK9cixY", "linkedInUrl" : "https://www.linkedin.com/in/datajackson/", "lastName" : "Jackson", "firstName" : "Brandon", "locationString" : "New Orleans, LA, USA", "domainFeatures" : [ "logistics", "retail" ], "technicalFeatures" : [ "visualization", "unsupervised", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "projects", "oneOnOneCalls" ], "readme" : "### What I expect from mentees\nI'm looking for a mentee who is comfortable with SQL and Python and currently in a business analyst role. Ideally, you already have access to your companies' databases. We must be able to take our learnings and have you apply them to real-world scenarios. Your ability to solve real business problems will be important to transition into a fulltime data science role. Ultimately, my goal is to help you understand how to sell analytical solutions to internal and external stakeholders.\n\nGreat news! I recently published the first-ever data science comic. Check it out at www.datajackson.com", "websiteUrl" : "http://www.datajackson.com", "currentRole" : "Manager, Data Science - Retail Price Optimization", "isFormerMentee" : false }, { "_id" : "bXSMZgKesaCCs5efs", "linkedInUrl" : "https://www.linkedin.com/in/david-kong-91125a14b/", "lastName" : "Kong", "firstName" : "David", "locationString" : "Vancouver, BC, Canada", "currentRole" : "Machine Learning Engineer @ realtor.com", "domainFeatures" : [ "realEstate", "media", "software" ], "technicalFeatures" : [ "deepLearning", "productionization", "nlp" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "### About me\nML Engineer with a heavy focus on deploying robust and scalable ML solutions to production. Big fan of generative models. Background in applied mathematics. \n### What I expect from mentees\nI am looking for mentees that have some experience developing web pages or software (school projects/internship/hackathon counts) and some knowledge in data science. I can provide regular one-on-one meetings and can probably help the most if you are interested in building your devops and model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well. \n### What I can help with\nPython, PySpark, most AWS services, NLP, Regression, Computer Vision", "isFormerMentee" : false }, { "_id" : "Nt7pqYdsYZT9a63ye", "linkedInUrl" : "https://www.linkedin.com/in/jonathan-chung-10778467/", "lastName" : "Chung", "firstName" : "Jonathan", "locationString" : "Vancouver, BC, Canada", "currentRole" : "Applied Scientist at Amazon", "domainFeatures" : [ "healthcare", "research" ], "technicalFeatures" : [ "computerVision", "deepLearning", "reinforcementLearning" ], "mentorshipOfferings" : [ "projects", "codeReview", "oneOnOneCalls", "mockInterviews" ], "readme" : "### About me\nApplied scientist at Amazon. Completed my PhD at University of Toronto developing techniques to study visual scanning in patients with psychiatric disorders \n### What I expect from mentees\nI am looking for mentees with a background in computer science or engineering, Ideally, with some experience in machine learning. \n\nI am mainly interested in deep learning projects. We can work together to formulate a project that interests both of us and I'll provide you with guidance, tips, and suggestions to complete the project.", "isFormerMentee" : false }, { "_id" : "EY4dRKv2NCPAFMTvx", "firstName" : "Rondale", "lastName" : "Williams", "linkedInUrl" : "https://www.linkedin.com/in/rondale-williams-725b8924/", "locationString" : "Los Angeles, CA, USA", "domainFeatures" : [ "media" ], "technicalFeatures" : [ "dataScience" ], "isFormerMentee" : true }, { "_id" : "Md8ReYZ95L5M4z8Zf", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "domainFeatures" : [ "digitalMarketing", "retail" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization", "recommenders", "dataEngineering", "devops" ], "linkedInUrl" : "https://www.linkedin.com/in/timothyduquette/", "lastName" : "Duquette", "firstName" : "Tim", "locationString" : "Philadelphia, PA, USA", "currentRole" : "Data Scientist", "readme" : "### About me\nData Scientist @Clutch; building large-scale ML systems to optimize email and SMS marketing and loyalty programs \n### What I expect from mentees\nI'm looking for mentees who can program and preferably have a science background. You can expect me to teach you the data science skills to make you a very good data scientist \n### What I can help with\nA/B testing, Scikit-Learn, Scala, Spark, regression, visualization, Hadoop", "isFormerMentee" : false }, { "_id" : "TShp5PBJx2Az8xfiD", "linkedInUrl" : "https://www.linkedin.com/in/rohan-bhandari/", "lastName" : "Bhandari", "firstName" : "Rohan", "locationString" : "San Francisco, CA, USA", "currentRole" : "Senior Data Scientist @GYANT", "domainFeatures" : [ "healthcare", "research", "software" ], "technicalFeatures" : [ "nlp", "deepLearning", "dataScience" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews", "codeReview", "projects" ], "gitHubUrl" : "https://github.com/rohanbhandari", "readme" : "### About me\nI lead the Data Science team at GYANT. I work on using NLP techniques to understand free text inputs from patients and creating machine learning models to diagnosis and direct them to the right medical care.\nExperienced in transitioning PhDs and industry professionals into data science jobs. \n### What I expect from mentees\nI am looking for mentees that already have experience with Python and a machine learning framework (e.g. sklearn, tensorflow, etc). Mentees with graduate experience (especially in a quantitative field) are preferred, but I am open to any motivated candidate. I will help guide your projects so that they not only show your technical skills but also your ability to solve business problems and provide value for companies. Through this process, we’ll have regular one-on-one meetings and code reviews to help instill best practices. Lastly, I will also help with interview prep, as this is a separate skill where practice makes a big difference.", "isFormerMentee" : false }, { "_id" : "tteRvyAsc8rTob2om", "lastName" : "Singh", "firstName" : "Raj", "locationString" : "New York, NY, USA", "gitHubUrl" : "https://github.com/rajs96", "linkedInUrl" : "https://www.linkedin.com/in/raj-singh-110810124/", "domainFeatures" : [ "humanResources", "retail", "software" ], "technicalFeatures" : [ "deepLearning", "nlp", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "currentRole" : "Machine Learning Engineer at Amazon", "readme" : "# Intro\n\nHello! My name is Raj and I'm currently looking for a motivated mentee who wants to break into machine learning. \n\nA bit about myself: I graduated from Vanderbilt University with a degree in Computer Science and Mathematics. After a specialized machine learning fellowship, I transitioned immediately into a full time machine learning role at an AI startup in the Bay Area. \n\nMost recently, I joined Amazon as a Machine Learning Engineer.\n\n# Professional Experience\n\nFor my first job, I worked at a startup named Cultivate, where I was primarily building and deploying NLP models. Some of the technologies I worked with included PyTorch, Hugging Face, Django, and Kubernetes. I also worked closely with product teams to help integrate our models as product components. Many of these contributions directly led to the acquisition of our company.\n\nAt Amazon, I work in machine learning on the Style team. Much of the internal work we do is confidential, but you can learn more about the product here: https://www.aboutamazon.com/news/retail/amazon-reimagines-in-store-shopping-with-amazon-style\n\n# Interview and Networking experience\n\nBoth interviewing and networking can be tricky and subjective - luckily I've had plenty of experience with both of these.\n\nOn the networking side, I can help with referrals, cold email writing, LinkedIn outreach, and more.\n\nOn the interviewing side, I've been through Machine Learning Engineering interviews at top tier FAANG companies as well as upcoming AI startups. I have interview experiences I can share and I can give tips on how to perform well.", "isFormerMentee" : true }, { "_id" : "aGkoP5hkxcq3gPrc4", "linkedInUrl" : "https://www.linkedin.com/in/cdgonzal/", "lastName" : "Gonzalez", "firstName" : "Carlos", "locationString" : "Hollywood, FL, USA", "currentRole" : "Director of Artificial Intelligence and Machine Learning", "domainFeatures" : [ "finance", "selfDriving", "cybersecurity" ], "technicalFeatures" : [ "analytics", "dataEngineering", "computerVision" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview" ], "readme" : "### About me\nDirector of Artificial Intelligence, formerly @Capgemini @CocaCola @Deloitte \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and MxNet (all of the work will be done in AWS). Great to know Sagemaker. Need to be willing to commit >8 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model deployment skillz. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "9mWYyTGgbNeKyc2D2", "linkedInUrl" : "https://www.linkedin.com/in/damola-adepetu-phd-4281356", "lastName" : "Adepetu", "firstName" : "Damola", "locationString" : "Waterloo, ON, Canada", "currentRole" : "Manager of Data & Analytics @ Loblaw", "domainFeatures" : [ "finance", "research", "retail" ], "technicalFeatures" : [ "nlp", "dataScience", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nPassionate about building viable technical solutions to real-world problems. \n\nExperienced in building business solutions and tools using Machine Learning methods. \n\nData Science experience: NLP, supervised & unsupervised learning, prototyping/MVP creation, problem solving, web applications \n### What I can help with\nscikit-learn, machine learning, prototyping, building apis, NLP", "isFormerMentee" : false }, { "_id" : "c3g58XKJTNbrKhkd7", "firstName" : "Monish", "lastName" : "Gandhi", "linkedInUrl" : "https://www.linkedin.com/in/monishgandhi/", "locationString" : "Toronto, ON, Canada", "currentRole" : "Founder @Gradient Ascent AI", "domainFeatures" : [ "finance", "software", "manufacturing" ], "technicalFeatures" : [ "productionization", "dataScience", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "http://gradient-ascent.com", "readme" : "### About me\nFounder @Gradient Ascent - ML/AI consulting services + product development company; Worked on 20+ Data/ML/AI projects. Always looking for new talent (NLP, Computer vision, risk, forecasting). Projects in tech, FI, industrial, retail and legal. Product management and launch expertise. \n### What I can help with\nStrategy. Consulting. Product management. Project management.", "isFormerMentee" : false }, { "_id" : "yGyFBQvfv44iG2JC5", "domainFeatures" : [ "research", "semiconductor", "hardware" ], "technicalFeatures" : [ "reinforcementLearning", "computerVision", "deepLearning" ], "lastName" : "McCreary", "firstName" : "Dyllan", "locationString" : "Sunnyvale, CA, USA", "gitHubUrl" : "https://github.com/mccrearyd", "linkedInUrl" : "https://www.linkedin.com/in/dyllan-mccreary-570140154/", "currentRole" : "deep learning research engineer", "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects" ], "readme" : "Self-taught software/deep learning research engineer with a focus on computer vision. [Avid open source contributor](https://github.com/nollied). Mentor and leader. Python and C++.\n\nI am looking for passionate engineers/academic researchers to help build open source projects, market yourself true to your personality/interests, and relevant networking.", "isFormerMentee" : true }, { "_id" : "DSXL3cNbdRRDNowk5", "linkedInUrl" : "https://www.linkedin.com/in/atldata/", "lastName" : "Manning", "firstName" : "Ben", "locationString" : "Atlanta, GA, USA", "currentRole" : "Senior Data Scientist", "domainFeatures" : [ "robotics", "bci", "consulting" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "reinforcementLearning" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "projects" ], "readme" : "### About me\nTwenty years of leadership and practical experience in engineering and education.\nSeasoned Data Scientist, DevOps Engineer and Machine Learning practitioner; AWS Certified. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "ApJGf2fypwYYC7pmK", "linkedInUrl" : "https://www.linkedin.com/in/zhampel-arias/", "lastName" : "Hampel-Arias", "firstName" : "Zigfried", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist @ Lab41", "domainFeatures" : [ "research", "dataForGood", "government" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "unsupervised", "deepLearning", "dataScience" ], "readme" : "### About me\nData scientist focused on generative modeling at InQTel's deep learning research lab, with a decade of experimental physics experience. \n### What I expect from mentees\nI'm looking for mentees that are comfortable with Python, willing to commit >8 hrs / week on a project to highlight their strengths and perhaps build on some weaknesses. I can provide support via project guidance, code-review, interview and presentation prep, mock interviews, resume review, and industry networking. Preferably, this would be done with one-on-one meetings. I'm especially interested in mentees with strong data analysis experience, with preference to those with an academic background, as I can provide better guidance. \n### What I can help with\nPython\nPyTorch\nInterview prep\nContinuous Integration\nPresentation skills", "isFormerMentee" : false }, { "_id" : "DhmMABZivcqDyoy5v", "mentorshipOfferings" : [ "oneOnOneCalls", "codeReview" ], "domainFeatures" : [ "finance", "consulting" ], "technicalFeatures" : [ "dataScience", "analytics", "anomalyDetection" ], "lastName" : "Kato", "firstName" : "Renkoh", "locationString" : "New York, NY, USA", "currentRole" : "Data Scientist, Fraud Risk at Socure", "linkedInUrl" : "https://www.linkedin.com/in/renkohkato/", "readme" : "### About me\nThe bulk of my experience has been developing models in credit risk and fraud. I am currently a Data Scientist and manager @ Socure building fraud detection models which are used by a various financial institutions. Previously I worked at JPMorgan Chase, developing fraud models for digital transactions and personal checks. In grad school, I consulted for the San Antonio Spurs Finance to build their first model-based ticket predictions algorithms. \n\n### What I expect from mentees\nI'm looking for mentees that have comfort with Python/pandas and Github. Typically I have helped those working on an end-to-end Data Science project. I can help with project management, code-review, and regular one-on-one meetings. I can probably help the most if you're interested in building your core competencies as a data scientist. \n\n### What I can help with\nPython, PySpark, SQL", "isFormerMentee" : false }, { "_id" : "3TPc52SyyeLNxvFTz", "domainFeatures" : [ "logistics", "retail" ], "technicalFeatures" : [ "deepLearning", "dataScience", "analytics" ], "linkedInUrl" : "https://www.linkedin.com/in/menglinwang81/", "lastName" : "Wang", "firstName" : "Menglin", "locationString" : "Seattle, WA, USA", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nMachine Learning Scientist @Amazon; optimizing delivery logistics at Amazon's Last Mile Team; training ML engineers internally at Amazon \n### What I can help with\nPricing models, optimization, deep learning, data engineering, engineering training", "isFormerMentee" : false }, { "_id" : "pRoqDQa9KqYCH6xZs", "linkedInUrl" : "https://www.linkedin.com/in/khurramtehseen/", "lastName" : "Tehseen", "firstName" : "Khurram", "locationString" : "Los Angeles, CA, USA", "currentRole" : "VP, Data Science @ Preston Ventures", "domainFeatures" : [ "finance", "healthcare", "insurance" ], "technicalFeatures" : [ "dataScience", "tabular", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "networking", "projects" ], "readme" : "### About me\nCurrently leading the data science team @ Preston Ventures, one of the top asset managers in life settlements. Former Actuary @ Manulife. \n### What I expect from mentees\nI am looking for mentees who are comfortable with the technical aspects of data science but recognize that's not all it takes to get hired. There's a strong business mindset that is needed to stand out. I can help you improve your business acumen, use the right terminology for executives and teach you how to get your foot in the door.\nIf you are willing to pound the pavement and put in the hard work, I am willing to do the same to help you get your next role.", "isFormerMentee" : false }, { "_id" : "my9xnbQ9RdKmQ5gps", "linkedInUrl" : "https://www.linkedin.com/in/rahmanisahar/", "lastName" : "Rahmani", "firstName" : "Sahar", "locationString" : "Toronto, ON, Canada", "currentRole" : "Director of Data scientists @ RBC", "domainFeatures" : [ "cybersecurity", "research" ], "technicalFeatures" : [ "dataScience", "analytics", "recommenders" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "oneOnOneCalls" ], "isFormerMentee" : false }, { "_id" : "PFi6peYkfAcaQkM72", "firstName" : "Karan", "lastName" : "Teckwani", "linkedInUrl" : "https://www.linkedin.com/in/karanteckwani/", "gitHubUrl" : "https://github.com/teckwanikaran", "locationString" : "San Francisco, CA, USA", "websiteUrl" : "https://karanteckwani.com", "currentRole" : "Data Engineer at Apple", "domainFeatures" : [ "software", "transportation", "healthcare" ], "technicalFeatures" : [ "dataScience", "computerVision", "timeSeries" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Engineer @Apple, formerly: Lead Data Scientist @EatSleepRIDE (https://app.eatsleepride.com), Data Engineer @Urbancoolab (https://urbancoolab.com), Chemist @Toronto Research Chemicals (https://www.trc-canada.com), Pharmacist @University of Waterloo. Karan pursues his passion to explore complex datasets of varied range and apply AI and ML to derive meaningful business decisions. \n### What I expect from mentees\nI'm looking for mentees who are comfortable with Python and willing to commit more than 10 hrs per week on a Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your data science skills. I'm especially interested in mentoring someone from math/stats/hard STEM but would be open to chatting in other cases as well. \n### What I can help with\n- Programming languages: Python, SQL\n- Tools & Frameworks: Jupyter, Pycharm, MySQL, MongoDB, Databricks, Github, Airflow, Spark, Tableau, PowerBI \n- Libraries: Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, Keras, Tensorflow, Fast-ai, Pytorch\n- Cloud computing: GCP, AWS", "isFormerMentee" : true }, { "_id" : "8Eqsiz95A8ikfDyBm", "linkedInUrl" : "https://www.linkedin.com/in/nadeem-fazil-5bab124b/", "lastName" : "Fazil", "firstName" : "Nadeem", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior data scientist", "domainFeatures" : [ "finance", "digitalMarketing", "consulting" ], "technicalFeatures" : [ "dataScience", "visualization", "dataEngineering" ], "mentorshipOfferings" : [ "codeReview", "networking", "oneOnOneCalls" ], "isFormerMentee" : false }, { "_id" : "XRyxfeEbn96si8Srk", "linkedInUrl" : "https://www.linkedin.com/in/carolina", "lastName" : "Bosch", "firstName" : "Lena", "locationString" : "San Diego, CA, USA", "domainFeatures" : [ "healthcare", "digitalMarketing", "finance" ], "technicalFeatures" : [ "dataScience", "visualization", "tabular" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "currentRole" : "Advanced Analytics Senior Manager at Kaiser Permanente", "readme" : "### About Me\n\nLena Bosch is an Advanced Analytics Senior Manager at Kaiser Permanente. With over extensive experience (over 20 years) managing high-performance R&D teams through the new product development process. \n\nShe has knowledge of health, finance and digital marketing data, business intelligence, analytics visualization, star schemas, and the role that data science and analytics play in corporations.\n\nShe has mentored dozens of engineers over her career. \n\nLena has a Master's in Computer Science and an MBA. \n\nOriginally from Barcelona, Lena was sponsored for an EB1 green card for extraordinary ability.\n\n### What I expect from mentees\n\nAll skill levels and backgrounds are welcome. You need to be coachable, passionate about this mentorship, be willing to work independently, tell me how you learn best, and be willing to commit time to polish your resume, your presentation skills, and your interview to grow in your career.\n\n### What I can help with\n\nI'd like to help you put your best foot forward for hiring managers. I'm happy to collaborate with mentees on:\n\n- Networking\n- Helping you polish your profile and skillset to:\n - break into data science\n - pick a topic to start a data science project\n - select relevant business questions\n - answering business questions \n - follow software development best practices\n - add a testing suite\n- Practicing technical and non-technical communication\n- Your resume\n- Other prep as needed\n\n### Who I am not a great fit for\n\nPlease note: I'm not a great fit for mentees that are looking to:\n- need someone to teach them ML or Python,\n\n\n### When reaching out, please address the following:\n\n1.\tYour technical background\n2.\tWhat you're looking for in your next role,\n3.\tWhat you're looking for in a mentor.", "isFormerMentee" : true }, { "_id" : "Y93rhQKZoDXbfuBDg", "linkedInUrl" : "https://www.linkedin.com/in/alansi/", "lastName" : "Si", "firstName" : "Alan", "locationString" : "San Francisco, CA, USA", "currentRole" : "Former Data Scientist @ Airbnb, Facebook, and Instagram", "domainFeatures" : [ "healthcare", "software", "media" ], "technicalFeatures" : [ "recommenders", "dataScience", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "codeReview" ], "readme" : "### About me\nCurrently a PM @ The Athletic. Former data science lead @ Airbnb. Former senior data scientist, applied machine learning @ Facebook. Former data scientist @ Instagram. I helped build the first version of Instagram’s feed ranking; led social network analytics and recommender systems (Accounts You Should Follow). \n### What I expect from mentees\nLooking for mentees already with a baseline of technical skills, looking to break into machine learning, data science, or product analytics.", "isFormerMentee" : false }, { "_id" : "kNHNmPQ5mAeZoMmoc", "firstName" : "Alireza", "lastName" : "Ghasemieh", "linkedInUrl" : "https://www.linkedin.com/in/alireza-ghasemieh/", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "finance", "healthcare", "telecom", "selfDriving", "transportation", "robotics" ], "technicalFeatures" : [ "dataScience", "deepLearning", "computerVision", "timeSeries", "unsupervised", "reinforcementLearning" ], "gitHubUrl" : "http://github.com/ghasemieh", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "currentRole" : "Lead AI Engineer", "readme" : "### About me\n\nMy name is Alireza, and I am a Lead AI Engineer specializing in indoor/outdoor localization using computer vision with an ongoing Ph.D. in Artificial Intelligence and an MBA in entrepreneurship. I have experience since 2013 in applying Artificial Intelligence(AI) /Machine Learning(ML) tools and data-driven techniques to solve complex technical and business problems. I have been working with different teams of stakeholders, clients, developers, data engineers, and data scientists and contributing to the ideation, prototyping, development, and productization of AI/ML products and solutions.\n### What I can help with\n\nI can help with being prepared for industrial-level expectations, career paths and landing a position in case of availability in my network.\n\n### What I expect from mentees\n\nI'm looking for mentees that interested in AI, especially computer vision and deep learning.", "isFormerMentee" : true }, { "_id" : "2pQd8dmGTcydMMx8Z", "lastName" : "Shah", "firstName" : "Parin", "gitHubUrl" : "https://github.com/parinpshah94", "linkedInUrl" : "https://www.linkedin.com/in/parinpshah94/", "currentRole" : "Senior Data Scientist at Chime", "locationString" : "Vancouver, BC, Canada", "domainFeatures" : [ "consulting", "finance", "software" ], "technicalFeatures" : [ "dataEngineering", "dataScience", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\n👋 I’m a data scientist and machine learning engineer with experience working for companies in cybersecurity, fintech, e-commerce, and consulting. \n\nI currently work as a Senior Data Scientist at a Fintech, Chime, where I develop real-time ML models for fraud detection use-cases such as Account Takeover (ATO) and transaction fraud. Previously, I used to work for NuData Security (acquired by Mastercard) developing models for device fingerprinting and passive biometrics-based user identification. I have worked on several large-scale production models scoring up to 200 qeuries per second with a latency of < 20 ms. \n\nI program primarily in Python using various open-source (e.g. sci-kit learn, PyTorch) ML frameworks. I also work with a variety of services from the AWS stack such as Sagemaker, Glue (managed PySpark), EC2, etc.\n\n### What I can help with\n\n* ML engineering / ML ops\n* Feature store\n* Apache Spark\n* Apache Airflow\n* Data engineering\n* CNNs\n* AWS and GCP\n* Fraud detection\n* Pricing optimization\n* Supervised / unsupervised learning", "isFormerMentee" : false }, { "_id" : "6QPvFWkfimrPN2bzJ", "linkedInUrl" : "https://www.linkedin.com/in/anirudh-singh-12b8134/", "lastName" : "Singh", "firstName" : "Anirudh", "locationString" : "Toronto, ON, Canada", "currentRole" : "Tech lead of data science at Wayfair", "domainFeatures" : [ "finance", "software", "healthcare" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "networking" ], "technicalFeatures" : [ "dataScience", "deepLearning", "reinforcementLearning" ], "readme" : "### About me\n15 years industry experience in healthcare finance/insurance, e-commerce, gaming domains. Led data science department in 3 organizations. Have been teaching data science courses for universities and corporations since last 4 years. Mentoring new people has been key part of roles I have been in last 6 years. \n### What I expect from mentees\nLooking for people who are:\n\n- comfortable with programming and mathematics (not necessarily a degree in them but it helps in their own marketing while job hunting if one have). \n- knowledge of using databases \n- willing to work hard on a variety of skills and focus on getting into details and not really looking for a quick gain (I would recommend to get coached for longer sustainable journey) \n- existing knowledge in any of Python, tensorflow, other DL frameworks, R, Spark is an advantage \n- existing knowledge of algebra is an advantage", "isFormerMentee" : false }, { "_id" : "RcvrM7A7KjhxJZw9b", "linkedInUrl" : "https://www.linkedin.com/in/roboc/", "lastName" : "O'Callaghan", "firstName" : "Robert", "locationString" : "New York, NY, USA", "isFormerMentee" : false }, { "_id" : "dxf4fyzTDbeGucPfS", "linkedInUrl" : "https://www.linkedin.com/in/aidadelfan/", "lastName" : "Delfan", "firstName" : "Aida", "locationString" : "San Francisco, CA, USA", "currentRole" : "Lead Data Scientist", "domainFeatures" : [ "research", "finance" ], "technicalFeatures" : [ "dataScience", "nlp" ], "mentorshipOfferings" : [ "projects", "codeReview" ], "readme" : "### About me\nI'm a Lead data scientist at Carvana, helping the special projects team take Carvana's conversation engine to the next level. My day to day work involves natural language processing, understanding, inference, and generation in the context of conversational AI and chat bots, informational retrieval, and search.\n\nI'm a problem solver in nature and my background is in quantum physics. I have also worked as an AI/ML consultant at RBC, Deloitte, CIBC and have built solutions for a variety of business problems for financial institutions.\n\n### What I expect from mentees\nI'm looking for mentees who have a good knowledge of machine learning and deep learning and ideally are interested in NLP. My ideal mentees are driven to learn and grow professionally. I can help mentees with overseeing their projects, preparing for interviews, and helping with their career path.", "isFormerMentee" : false }, { "_id" : "Rxy5DfhnFz3ZLsMWQ", "firstName" : "David", "lastName" : "Staszak", "linkedInUrl" : "http://www.linkedin.com/in/david-staszak", "gitHubUrl" : "https://github.com/dstaszak", "locationString" : "Chicago, IL, USA", "currentRole" : "Data Scientist @Atomo", "domainFeatures" : [ "healthcare", "research", "dataForGood" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "tabular", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist @Atomo; working on huge, unstructured medical datasets \n### What I can help with\nWorking with medical data, data science for startups", "isFormerMentee" : false }, { "_id" : "JcK4vuSY3jw3BdbzH", "linkedInUrl" : "https://www.linkedin.com/in/larkinliu/", "lastName" : "Liu", "firstName" : "Larkin", "locationString" : "Berlin, Germany", "domainFeatures" : [ "consulting" ], "technicalFeatures" : [ "dataScience", "unsupervised", "tabular", "devops" ], "currentRole" : "Researcher at Technical University of Munich | Former Data Scientist for 6 years", "gitHubUrl" : "https://github.com/larkz", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nMy track record:\n- Successfully graduated 3/3 mentees working in US & Canada in 2019 and 2020. (100% of mentees found job placements).\n \nMy experience:\n- Currently based out of Berlin, Germany. Formerly worked in Toronto, Canada.\n- Practicing as a Data Scientist for +5 years now.\n- MASc and BASc from the University of Toronto.\n- Worked in eCommerce, Ad-tech, and retail.\n- Experience in diverse languages JVM Scala/Kotlin/Java, Python, C/C++\n\nCan Provide:\n- Project mentorship aimed at landing DS jobs in US or Canada.\n- Interview Prep\n- Career advice \n### What I can help with\nApache Spark, Anomaly Detection, Stochastic Processes, ML in Python, R, Statistical Analysis, Amazon AWS, Google Cloud Platform, Real-Time-Bidding", "isFormerMentee" : false }, { "_id" : "ZYjfMTCJK2ty2yXCn", "firstName" : "Goku", "lastName" : "Mohandas", "linkedInUrl" : "https://www.linkedin.com/in/goku/", "locationString" : "Sunnyvale, CA, USA", "currentRole" : "Head of Machine Learning", "websiteUrl" : "https://goku.me", "gitHubUrl" : "https://github.com/gokumohandas", "domainFeatures" : [ "software", "healthcare", "edtech" ], "technicalFeatures" : [ "deepLearning", "nlp", "webDevelopment" ], "mentorshipOfferings" : [ "codeReview", "networking", "oneOnOneCalls", "projects", "mockInterviews" ], "readme" : "### About me\nI've worked as the lead AI researcher at Apple for 3 years and then transitioned to a small healthcare startup as the head of ML. Since then, I've been working on my own projects focused to education and continuous learning. I've been on both sides of the hiring process and looking to work on some really fun projects with future mentees. \n### What I expect from mentees\nMy expertise is in NLP and I can help get you a solid ML foundation to be able to tackle any problem. Everything we do is going to be project based where we'll develop both technical and product sense. I've hired over 10 data scientists and interviews many more during my time at Apple and there was nothing stronger than a candidate who came in with a portfolio of projects that they could talk about.\n\nOur specific projects will depend on your experience, background and what type of job you're looking for. But we'll generally need at least 10 hours a week of effort to make something meaningful. \n### What I can help with\nWe'll not only work on ML but also basic full-stack (SQL/postgres, html/js/css, APIs w/ Flask, devops, etc.)", "isFormerMentee" : false }, { "_id" : "7s5urGfxSMDwFDy3i", "firstName" : "Tomas", "lastName" : "Babej", "linkedInUrl" : "https://www.linkedin.com/in/tbabej/", "gitHubUrl" : "https://github.com/tbabej/", "currentRole" : "Chief Technology Officer @ ProteinQure", "domainFeatures" : [ "healthcare", "cybersecurity", "software" ], "technicalFeatures" : [ "deepLearning", "reinforcementLearning", "dataEngineering", "unsupervised" ], "websiteUrl" : "https://tbabej.com", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "locationString" : "Toronto, ON, Canada", "readme" : "### About me\nCTO @ProteinQure; formerly @Red Hat, @European Space Agency; currently designing protein therapeutics; expert at teaching self-taught people engineering skills and data science team processes - which is exactly what differentiates juniors from seniors \n### What I expect from mentees\nHow to do code review? Obtain and clean data? Write good tests?\n\nBuilding a project from scratch is not easy, but the reward is a solid grasp of the industry landscape. You get: Code reviews, pair programming and roughly the extent of 1-2 years of industry experience compressed in 8-12 weeks. I want: people that can put in >= 20h of work / week. I love seeing my mentees grow and becoming more well-versed and self-confident, which requires time. \n### What I can help with\nDuring the course of the mentorship, we will build a project that will emulate real industry setting.", "isFormerMentee" : false }, { "_id" : "si89DiFWB5Z2v3QHP", "linkedInUrl" : "https://www.linkedin.com/in/dhrumilpatel02/", "lastName" : "Patel", "firstName" : "Dhrumil", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "finance", "retail", "sports" ], "technicalFeatures" : [ "analytics", "visualization", "tabular" ], "currentRole" : "Data Analyst", "gitHubUrl" : "https://github.com/dhrumilpatel02", "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "http://dhrumilpatel.me/", "isFormerMentee" : true }, { "_id" : "vP6LQ5sD4KNtb2PJz", "linkedInUrl" : "https://www.linkedin.com/in/danielkentwood/", "lastName" : "Wood", "firstName" : "Daniel", "locationString" : "Chicago, IL, USA", "domainFeatures" : [ "healthcare", "dataForGood", "bci" ], "technicalFeatures" : [ "timeSeries", "dataScience", "tabular" ], "currentRole" : "Sr. Data Scientist at Aetna/CVS Health", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "gitHubUrl" : "https://github.com/danielkentwood", "websiteUrl" : "https://danielkentwood.github.io/", "readme" : "# About Me\n\nI'm currently a Senior Data Scientist working at Aetna/CVS Health. I studied philosophy during my undergrad, and I have a PhD in neuroscience. I live in Chicago with my wife and 2 kids. \n\nFun fact:\n* I'll help you get a job.\n\n# Employment History\n**Aetna/CVS Health**\n* Sr. Data Scientist (Aug 2022—present)\n* Data Scientist (March 2021—Aug 2022)\n\n**Exponent**\n* Scientist (Mar 2019—Nov 2020)\n\n**Northwestern University** \n* Postdoctoral Fellow (Jan 2014—Mar 2019)\n\n# Specialization\n### Expert\n* Clinical data science: health claims data, medical ontologies, digital health, behavioral/mental health\n* Experimentation and measurement: A/B (RCT) testing, parametric and non-parametric stats, experimental design\n* Machine Learning: tabular ML, supervised/unsupervised, predictive modeling, optimization (hyperparameter, cost, etc), feature engineering, explainability, model productionalization and maintenance\n* Analytics Consulting: SQL pipelines, EDA, data preprocessing, data storytelling, data visualization, dashboarding, business sizing/modeling, stakeholder presentations\n* Signal Processing: FFT, Time-Frequency Analysis (Wavelet decomposition)\n* Time Series Analysis: explanatory and forecasting models, ARIMA/vector/other autoregressive models, multivariate endogenous/exogenous, decomposition methods, impulse response modeling\n\n### Currently studying\n* Graph/Network analytics\n* Causal inference\n\n### Previous Experience (Non-Expert)\n* Natural Language Processing\n* Computer Vision\n* Deep Learning\n\n# Technical Skills\n### Programming/Scripting Languages\nPython, MATLAB, SQL, Bash (CLI/Shell), HTML/CSS/JS, Git\n\n### Frameworks\n* Python: NumPy, Scipy, Scikit-learn, Matplotlib, Plotly, Dash, Pandas, Catboost, PySpark\n* SQL: Hive, MySQL, BigQuery\n* JavaScript: D3.js\n\n### Cloud + Deployment\nHeroku, Docker, GCS, Hadoop/Hive, TigerGraph\n\n# What I expect from mentees\n* Curiosity\n* Initiative/self-starter\n* Brutal honesty about what you do and do not understand\n* Respect for other people's time and energy (i.e., don't show up unprepared to meetings)\n\n# What I will help you with\n* Finding your niche: I believe it is unrealistic in today's market to try to be a generalist unless you're interested in consulting (which is totally fine!). If you haven't identified a niche to focus on, I can help with that. \n* Scientific thinking: This is the core of what a data scientist does. Not ML or AI or stats or coding -- these are just tools to do science. If you're nerdy about approaching your problems like a scientist, let's be nerdy together!\n* Interview prep: In my current role, I conduct 2 or 3 coding and technical interviews per week. I get to see the most common mistakes and what really makes candidates stand out. We'll do mock interviews as you prepare for your real interviews. \n* Code review: We'll be simulating the full dev process, including best practices for git, how to write a good pull request, and code reviews focusing on multiple levels of code quality.\n* Signal boost: I've published over a dozen peer-reviewed articles; I love writing and would be happy to help you write articles (Medium, personal blog, LinkedIn, etc.) to help boost your online presence.\n* Transitions from academia: Having done this myself, I have a lot of ideas about how to navigate this transition.\n* Portfolio project: I'll provide guidance as you develop a killer full-stack project that stretches you and showcases your strengths.\n* Confidence: I think this is one of the most valuable benefits of the mentor/mentee relationship. I'll not only help you address gaps; I'll also highlight your strengths and how you measure up against others who are already in the industry. \n\n# What I probably won't help you with\n* Advanced math/theory: If you're interested in Research Scientist roles at FAANG gigs, I shouldn't be your top pick. Related: Deep Learning. Despite my PhD in biological neural networks, I haven't had much use for artificial neural networks yet. I'm at an intermediate level, but if you're looking for help getting hired to do AI, you probably know more than me already.\n* Quant/Finance topics: I'm solid at time-series analysis, but aside from a few lucky crypto investments, I haven't had much experience with the finance world. \n* AWS platform: My only experience with AWS involves forgetting to stop an instance, resulting in a painful bill. Don't make me go back.", "isFormerMentee" : true }, { "_id" : "mCznBmLp6nfzFsPnc", "linkedInUrl" : "https://www.linkedin.com/in/avishalom/", "lastName" : "Shalit", "firstName" : "Avishalom", "locationString" : "Kitchener, ON, Canada", "domainFeatures" : [ "finance", "digitalMarketing", "socialMedia" ], "technicalFeatures" : [ "dataScience", "visualization", "timeSeries" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "networking" ], "currentRole" : "Sr Manager for Data Science and Analytics", "readme" : "### About me\nSr Manager for Data Science and Analytics at Carta,\npreviously at Kik, \npreviously Sr SWE at Google.\nChief \"algorithm developer\" (which is what Data Scientists used to be called) at various companies of various sizes.\nWorked in 4 countries. \n### What I expect from mentees\nI have a lot of experience interviewing and can help you prepare, I have interviewed over 100 candidates at Google, and hundreds more since. I have personally received offers from other top tier companies (other than Google) so I know what a good interview is. \nI have also successfully mentored people on job hunting, e.g. how to be in a state where you have more than one offer at a time.\nI can also help you, with a data science project at al its stages, but it will be most time efficient if you can already code and have some experience. \n### What I can help with\nOptimizing Career path, Optimizing interview pipeline, Salary negotiations, Preparing for interviews correctly, Resume polish.", "isFormerMentee" : false }, { "_id" : "7saDEETES63EeBYXt", "firstName" : "Weikai", "lastName" : "Qi", "linkedInUrl" : "https://www.linkedin.com/in/weikaiqi/?originalsubdomain=ca", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "bci", "research" ], "technicalFeatures" : [ "deepLearning", "timeSeries", "computerVision" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "currentRole" : "Machine Learning Scientist", "readme" : "### About me\nI am working on machine learning research for brain-computer interfaces at Zentrela Inc. \n### What I can help with\npython/pytorch/keras/tensorflow/machine learning/deep learning/", "isFormerMentee" : true }, { "_id" : "vSWaqj6n9A2jMEDEA", "linkedInUrl" : "https://www.linkedin.com/in/melvinroy1/", "lastName" : "Victor", "firstName" : "Melvin Roy", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist at TD Bank", "domainFeatures" : [ "finance", "consulting", "logistics" ], "technicalFeatures" : [ "analytics", "dataScience", "tabular" ], "mentorshipOfferings" : [ "mockInterviews", "projects", "codeReview", "networking", "oneOnOneCalls" ], "readme" : "### About me\nData Science professional with 8+ years of experience in helping organizations to harness the power of data and make informed decisions with an inquisitive mind and technical abilities. Well versed in modeling, reporting, and automation with a passion & an uncompromising commitment to excel client \n### What I expect from mentees\nI'm looking for mentees who want to get well versed in Python/R/SAS and are willing to commit >10 hrs per week on a Data Science project. I will provide code-review, regular one-on-one meetings, and interview tips. I'm especially interested in mentoring someone who is a new immigrant or fresh graduate looking to build their Data Science portfolio. \n\n### What I can help with\nI am good at modeling, tool building, reporting, and automation.", "isFormerMentee" : false }, { "_id" : "D4QiQzv6dRApDfQEY", "linkedInUrl" : "https://www.linkedin.com/in/thomasvissers/", "lastName" : "Vissers", "firstName" : "Thomas", "locationString" : "London, UK", "currentRole" : "Security Data Scientist", "domainFeatures" : [ "research", "cybersecurity", "saas" ], "technicalFeatures" : [ "dataScience", "anomalyDetection", "productionization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews", "codeReview", "networking", "projects" ], "readme" : "### About me\nData scientist at Cloudflare. Cyber security expert. PhD in computer science. \n### What I expect from mentees\nI bring to the table a realistic view of the challenges involved industry data science projects. Building models fit for large-scale and real-time deployments, dealing with incomplete and noisy data, designing robust models within adversarial environments, etc. I can help you prep for interviews -- I sit on the other side of that table every week. \n\nI specialise in security, abuse and fraud.\n\nLet's have a chat to understand how we can tailor this mentorship to maximize your potential.", "isFormerMentee" : false }, { "_id" : "QSfeWozfwDKNGYEsP", "linkedInUrl" : "https://www.linkedin.com/in/aglove2189/", "lastName" : "Glover", "firstName" : "Aaron", "locationString" : "Houston, TX, USA", "currentRole" : "Sr Data Scientist @Enterprise Products", "domainFeatures" : [ "naturalResources" ], "technicalFeatures" : [ "dataScience", "tabular", "timeSeries" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects" ], "gitHubUrl" : "https://github.com/aglove2189/", "websiteUrl" : "https://aglove2189.github.io/", "isFormerMentee" : false }, { "_id" : "ZTCTvE5tNpyszBeuo", "linkedInUrl" : "https://www.linkedin.com/in/jlee118/", "lastName" : "Lee", "firstName" : "Justin", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Engineer @Ideal", "domainFeatures" : [ "research", "saas", "media" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "nlp", "unsupervised", "deepLearning" ], "readme" : "### About me\nMachine learning engineer @Ideal, specializing in NLP, classification, transfer learning. Undergrad @ University of Toronto in Bioinformatics and Statistics, Masters @ Queens University in Analytics \n### What I expect from mentees\nI am looking to take on mentees of all data science skill levels (including those with limited experience) who are willing to work in Python and its data science/machine learning libraries . The focus of the mentorship will be on a full-stack Data Science project.\nI will be providing code review as well as general help in problem solving and strategizing within a modelling perspective. Professionally, I have had the most experience in the NLP and text modelling domain, although the project does not have to be limited to this domain (to be discussed). I am open to mentees from all backgrounds (STEM not needed!) who are willing to put in the time to learn the craft. I am especially interested in helping beginners or individuals with limited experience build a strong grounding in data science skills. \n### What I can help with\nData Science, Machine Learning, Python, Sklearn, Keras, Tensorflow, Neural Networks, Production ML", "isFormerMentee" : false }, { "_id" : "Dc33f8K7jtnJjAj9G", "linkedInUrl" : "https://www.linkedin.com/in/mandy-gu-3689848a/", "lastName" : "Gu", "firstName" : "Mandy", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @ Wealthsimple", "domainFeatures" : [ "finance", "research" ], "mentorshipOfferings" : [ "projects", "codeReview", "mockInterviews" ], "technicalFeatures" : [ "nlp", "productionization", "dataScience" ], "gitHubUrl" : "https://github.com/happilyeverafter95", "readme" : "### About Me\n\nI work as a Data Scientist at Wealthsimple, where I lead a small team to support the analytics, reporting and machine learning needs for the client success and operations domain. I have experience as a hiring manager for data science roles and running both technical and behavioural/culture interviews.\n\n### What I expect from mentees\n\nI am open to mentees from all skill levels and backgrounds. I am looking for mentees who are comfortable with Python (or willing to get there) and are willing to commit > 10 hours a week on a full-stack DS/ML project. \n\n### What I can provide\n\nI will provide code-reviews, exposure to software development tooling and regular one-on-one meetings. Additionally, I can run mock interviews (pair programming, white boarding, problem solving), provide resume critiques and work with mentees through their job search.\n\n### Income Share Agreement Mentorship Fees\n\n3 hours/week for 10 weeks - 5%", "isFormerMentee" : false }, { "_id" : "dH4tbvTZfJEoFxiQd", "linkedInUrl" : "https://www.linkedin.com/in/bill-suh", "lastName" : "Suh", "firstName" : "William", "locationString" : "San Francisco, CA, USA", "domainFeatures" : [ "edtech", "digitalMarketing", "virtualReality", "dataForGood" ], "technicalFeatures" : [ "analytics", "visualization", "timeSeries" ], "currentRole" : "Product Analyst @ Intuit", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "gitHubUrl" : "https://github.com/wsuh60", "readme" : "### About me\n\nMy name is William and I am currently a Product Analyst @ Intuit. I was a mentee on SM in 2020 and it's been a fun ride navigating the tech career landscape. I had several jobs before a career in data and went to General Assembly's data science bootcamp to transition to data. I was a concierge at Hilton Waikiki, an EMT, compliance analyst, farmer, nature guide, and an elementary teacher before making the switch. \n\nI suppose I jumped around a lot because I enjoyed learning new things constantly and that's why I chose data/tech for my career! There's always something new to learn and everyday is an opportunity to eat a big slice of humble 🥧.\n\n### What I can help with and my specialty\n\nMy main focus is in business intelligence and marketing analytics. I worked at retail chains like Macy's and Sephora answering business questions like, 'Why is this loyalty group's customer retention low compared to others?' \n\nI'm currently working at Intuit's Turbotax division as a product analyst to expand my knowledge in different aspects of analytics. The main bread and butter tools I use for the job are SQL and Tableau.\n\nCareer wise, I've been mostly contracting with the same recruiter for 4+ years and I noticed that each time I got a new gig, my rate increased around 20%. I was also able to gain diverse experiences in a broad discipline instead of getting pigeon holed for one specific role in a company. \n\nIf you're early in your career, I think contracting could be a viable option for some people to explore different roles. Having said that, there are some things about being a contractor is not ideal. If you'd like more information about the route I've chosen, please reach out! It worked out for me :) \n\nIn terms of what I can offer specifically, I think I have a knack for teaching and can make the most impact in helping you improve your SQL and interview skills. I think getting a call back in your first/second year in data is quite difficult so if you get a chance for an interview, you definitely want to make each opportunity count! \n\n### What I expect from mentees\n\nFirst and foremost, I'm looking for mentees that can remain positive and optimistic during the job search. It's tough and often depressing to go through rejections but I hope we can laugh about it together and count it as experience. \n\nSecondly, I ask you to be honest with your motivations to get into a data career. Depending on your reasons, I might recommend a different strategy or focus. There are no right or wrong answers so I hope to have an open and honest line of communication with mentees. \n\nIf that sounds good with you, please drop me a line! Looking forward to meeting you :)", "isFormerMentee" : true }, { "_id" : "tgozfj9dg6sCQn349", "lastName" : "Didandeh", "firstName" : "Arman", "linkedInUrl" : "https://www.linkedin.com/in/arman-didandeh/", "locationString" : "Toronto, ON, Canada", "gitHubUrl" : "http://github.com/armandidandeh/", "domainFeatures" : [ "consulting", "research", "software" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "nlp" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nAI Product Manager / Innovation Team Lead / Start-up Advisor / MLOps Expert / Full-stack ML Engineer (Data Scientist / Scrum Master / D3.js Ninja / Pythoneer)\n\n### About you\nYou need to know, at least one language very well. If it is python or julia, awesome. If it is c++, it is best if you look for a better fit because I may not be able to provide much help as I have last used c++ a long time ago. If it is javascript and you want to learn, say, python while working with me, please take a couple of weeks and learn python first and then reach out to me.\n\n### What I can help with\nIdeation and product mindset | Weekly reviews | Potentially, and for some mentees, connecting you with a start-up to get hands-on experience\n\nConcepts: NLP/NLU | Data Visualization (Human-centred Design, Systems Design, D3) | Cloud Services & Deployment | Privacy & ML\n\nPractice: Pair Programming | Mock Interviews | Networking & Making New Connections | Authoring Medium Articles\n\nPushing you to your limits and beyond!\n\n### What I cannot help with\nCode reviews | Tackling every single bug | Writing cold emails | Improving your resume\n\n### What I expect from mentees\nI hope for my next endeavor on SM to focus on one of the following (no order intended):\n\n1. application of graph neural networks in a real-world scenario. For some information, read this: https://jonathan-hui.medium.com/applications-of-graph-neural-networks-gnn-d487fd5ed17d\n\n2. building end-to-end ML-powered products: pretty self-explanatory. You will build your portfolio by working on a product and learn about the components of full-stack ML along the way. If the application has a taste of NLP, then I can help more, compared to, say, computer vision.\n\n3. GANs for a product: this is your chance to jump on the ship of an ongoing project, where you can contribute to the progress we are making. If this becomes successful, you will get equity in a start-up based on your contribution. You have to trust me though; I am a fair person :)\n\n4. data visualization: if you know D3 VERY WELL, please drop me a note. This will be your chance to be part of a team that will become a new start-up in 2021. No Tableau or PowerBI DataViz enthusiasts, please!\n\n5. intersection of ML and blockchain: have you heard of smart contracts? Do you want to do R&D about their application in the ML world? (This is not about you mining Bitcoin!)\n\n6. privacy-preserving ML (federated ML or differential privacy): for this, you need to be good at algebra, SQL, and know TensorFlow or PyTorch first. Otherwise, you will have to spend the first full-time month learning them while committing to me as your absent mentor! Your call! \n\n7. R&D in meta-learning or self-supervised learning, or active learning use-cases.\n\n8. research-oriented mentees: I have a few ideas for new ML algorithms/MVPs/pipelines and I am looking for new mentees to build a small team to work together on them. This would be a fit for more independent and somewhat knowledgable mentees who require more direction and less learning of the basics.\n\nAlternatively, if you have a really cool idea for a project, or already have a full-time job (e.g., as a researcher or a senior software developer) but want to crack open the doors into the data world, we can always chat about it.", "isFormerMentee" : false }, { "_id" : "CaEfuoHD7NB5vGZBS", "linkedInUrl" : "https://www.linkedin.com/in/muyiibidun/", "lastName" : "Ibidunmoye", "firstName" : "Emmanuel", "currentRole" : "Managing Consultant – Data Science & Engineering", "domainFeatures" : [ "research", "consulting", "naturalResources" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "codeReview" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "analytics" ], "locationString" : "Calgary, AB, Canada", "readme" : "### About me\nI worked as a researcher for over 5 years applying machine learning for managing the performance of distributed cloud systems. Now, I work as a Sr. Data Scientist & Engineer at IBM leading data science and engineering solutions across industries (e.g. Oil & Gas, Finance, & Health Care). \n### What I expect from mentees\nI'm looking for mentees who are committed, self-driven and have previous programming experience, are familiar with analytics in general (Data Mining, BigData, Machine Learning, etc.) and are open to learning even if you do not have a technical (STEM) background. I will help you define what path to take in your data science and engineering journey. Together we will identify your strength and how to improve on your weak points. I will share tips and nuggets for working successfully in a real-world data science and engineering team, prepare you for interviews, define and supervise a side project to give you hands-on experience needed to succeed as an analytics professional. Finally, whether you are making a career change to analytics or conflicted on which role (data engineer, data analyst, data scientist) will be right for you, please reach out to me, I might just be the right mentor for you.", "isFormerMentee" : false }, { "_id" : "aGqRdjdkDQzcDdwFj", "linkedInUrl" : "https://www.linkedin.com/in/edward-chen-qian/", "lastName" : "Qian", "firstName" : "Edward", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Machine Learning Scientist @ Ada", "domainFeatures" : [ "research", "software" ], "technicalFeatures" : [ "nlp", "dataScience", "productionization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "codeReview" ], "readme" : "### About me\nMachine Learning Scientist @ Ada with focus in Natural Language. I believe being a good data scientist is not about building the best possible model, but solving a real tangible issue with a pragmatic and realistic approach.\n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python with basic modelling competencies and are willing to commit at least 5-10 hours per week on one or more full-stack Data Science project.\n### Style of mentorship\nI will try to mimic what a real project at work feels like, and walk through the problems and decisions we will typically make. We will go from problem conception, model prototyping, to deployment. I will provide code-reviews and regular one-on-one meetings.\n### What I can help with\n- General tools and technical skills\n- How to conduct research in a reproducible way", "isFormerMentee" : false }, { "_id" : "toM4h6N3nnQF3zqfx", "linkedInUrl" : "https://www.linkedin.com/in/leemedoff/", "lastName" : "Medoff", "firstName" : "Lee", "locationString" : "New York, NY, USA", "currentRole" : "Chief Risk Officer", "domainFeatures" : [ "finance", "consulting" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "readme" : "### What I expect from mentees\nI'm interested to help mentees who are reasonably confident in their technical abilities and solid technical skills but are facing challenges in the job search and looking to improve the outcome in the job search process. I have been able to help data scientists find work, from prepping for interviews to negotiating compensation. I think no more than 5 hours per week would be needed to do this, focusing on everything from approaching prospective employers to evaluating opportunities and integrating feedback.", "isFormerMentee" : false }, { "_id" : "25ieaydRWeTvTDQPc", "linkedInUrl" : "https://www.linkedin.com/in/jay-feng-ab66b049/", "lastName" : "Feng", "firstName" : "Jay", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist @ Nextdoor", "domainFeatures" : [ "socialMedia", "realEstate", "software" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "codeReview", "networking", "projects" ], "technicalFeatures" : [ "dataScience", "analytics", "nlp" ], "readme" : "### About me\nBuilding startups with data science. Worked as a data scientist @ Nextdoor and a machine learning engineer at Jobr before it got acquired by Monster. Been doing full stack data science for 5 years now. \n### What I expect from mentees\nComfortable with either Python or SQL. I can provide interview prep, guidance, code-review for pandas and python based web projects. I cannot do any deep learning unless in NLP. More so on analytics, product intuition questions, scraping, building recommendation systems, deploying models in production, data engineering, creating data science systems and pipelines.\n\nAlso building startups with data science. \n### What I can help with\nMachine learning, startups, Python, data pipelines", "isFormerMentee" : false }, { "_id" : "2CPaer5rCgoMbcYGZ", "linkedInUrl" : "https://www.linkedin.com/in/briangodsey/", "websiteUrl" : "https://www.briangodsey.com", "lastName" : "Godsey", "firstName" : "Brian", "locationString" : "Baltimore, MD, USA", "domainFeatures" : [ "cybersecurity", "finance", "software" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "currentRole" : "co-founder, multiple roles at analytic software start-ups", "readme" : "### About me\nCofounder and/or early employee at 4+ start-ups; advisor of 3+ data-centric software startups; author of Think Like a Data Scientist (published by @Manning) / briangodsey.com\n\n### What I can help with\nMath, statistics, machine learning (ML), data science and engineering, analytic architecture design and development, team building, development process management and evaluation.", "isFormerMentee" : false }, { "_id" : "eztgGbtt57io8JPQu", "linkedInUrl" : "https://www.linkedin.com/in/greg-korodi-phd-7ab73560/", "lastName" : "Korodi", "firstName" : "Greg", "locationString" : "Waterloo, ON, Canada", "currentRole" : "Lead Data Scientist @Bungalow", "domainFeatures" : [ "research", "software", "realEstate" ], "technicalFeatures" : [ "dataScience", "nlp", "recommenders" ], "mentorshipOfferings" : [ "projects", "codeReview", "oneOnOneCalls", "mockInterviews" ], "readme" : "### About me\nData Scientist, PhD, at Bungalow; formerly working at BlackBerry and several high-tech start-ups. I have a focus on statistics and applying mathematics to solve real-life problems. I'm experienced in leading teams, building work relationships and being successful in cross-functional environments. \n### What I expect from mentees\nI'm looking for mentees who are attending or completed University-level education, and who have future plans for applying jobs at companies. I can help them prepare for a successful job application, and help them acquire the necessary technical and social skills to be part of a modern cross-functional organization. I can help with assigning and reviewing projects, guidance through one-on-one meetings and preparing resumes and job applications.", "isFormerMentee" : false }, { "_id" : "BnEQpsZb7E4b68FXP", "linkedInUrl" : "https://www.linkedin.com/in/sukhjitsehra/", "lastName" : "Sehra", "firstName" : "Sukhjit", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "research", "dataForGood" ], "technicalFeatures" : [ "dataScience", "nlp", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "projects", "oneOnOneCalls", "codeReview" ], "gitHubUrl" : "https://github.com/sukhjitsehra", "readme" : "### What I expect from mentees\nI'm looking for mentees that already have prior knowledge of R or Python, SQL and willing to commit more than 10 hrs per week on the projects. I would provide assistance in identifying the Data science problem, cleaning the data, developing the model, making it production ready. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "9KpSMRznHTSCjFTQ2", "linkedInUrl" : "https://www.linkedin.com/in/randylaosat/", "lastName" : "Lao", "firstName" : "Randy", "locationString" : "Los Angeles, CA, USA", "domainFeatures" : [ "digitalMarketing", "saas", "media" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "codeReview", "projects" ], "currentRole" : "Marketing Analyst at VS Media", "websiteUrl" : "http://www.claoudml.com", "readme" : "### About me\nI'm currently making a data science roadmap and free course for my mentees to help them in their transition into data science. You can check out my site at www.claoudml.com for all my free resources! \n### What I expect from mentees\nI'm looking for mentees that are looking for roles in business analytics, data analytics, or data science. I will provide support in:\n- code review\n- extensive resume/linkedin/github review\n- portfolio review\n- job roadmap guideance\n- resources and advice\n- accountability\n- mock interviews\n- industry tips\n- and other job-related hacks that will land you jobs \n### What I can help with\nPython, Machine Learning, Data Visualization, Excel, Storytelling, Marketing, Analytics", "isFormerMentee" : false }, { "_id" : "d4bsefm8Z8sKij2bs", "linkedInUrl" : "https://www.linkedin.com/in/upom-malik", "lastName" : "Malik", "firstName" : "Upom", "locationString" : "New York, NY, USA", "currentRole" : "Founder of Stealth Startup", "domainFeatures" : [ "finance", "consulting", "socialMedia" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "dataScience", "analytics", "computerVision" ], "readme" : "### About me\nData Scientist of energy, finance, love, and the rest of life’s important things. Currently setting up a startup. \n### What I expect from mentees\n\nI'm looking for mentees who have good quantitative fundamentals. You don't need a college degree in math or theoretical physics, but you do need to have a reasonable grasp of probability and statistics first and foremost, and ideally some calculus and linear algebra. I'd also like to work with people who are naturally curious (some might even say obsessive) about the things they are working on. You should be able to commit at least 15 hours per week to improve your skills, which include programming, machine learning, related mathematics, fundamentals of business, critical thinking, and communication. I can provide whatever resources I can to help you start your career, including but not limited to one-on-one calls, networking opportunities, code reviews, resume building, and mock interviews.", "isFormerMentee" : false }, { "_id" : "ok6p5xEJFrBdw8mG8", "firstName" : "Ajay", "lastName" : "Ajaal", "linkedInUrl" : "https://www.linkedin.com/in/ajayajaal/", "websiteUrl" : "http://www.ajayajaal.com", "currentRole" : "Senior Data Engineer @Telus", "domainFeatures" : [ "telecom", "media" ], "technicalFeatures" : [ "dataEngineering", "dataScience", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "locationString" : "Toronto, ON, Canada", "readme" : "### About me\nSenior Data Engineer @Telus; developed and run the data science and data engineering mentorship program at Telus \n### What I expect from mentees\nCome with an idea of what type of project you want to work on as well as a company you'd be happy to work for, preferably one that would be interested in the work you've done \n### What I can help with\nEnterprise scale data engineering and devops", "isFormerMentee" : false }, { "_id" : "CpisbGyNYEcvHPRAp", "linkedInUrl" : "https://www.linkedin.com/in/kenhchan/", "lastName" : "Chan", "firstName" : "Kenneth", "locationString" : "Seattle, WA, USA", "currentRole" : "Staff Data Scientist", "domainFeatures" : [ "healthcare", "logistics", "eCommerce" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking", "projects" ], "readme" : "### About me\nML Engineer. Data Scientist. Computational Biologist. Mathematician.", "isFormerMentee" : false }, { "_id" : "33XdaYGePdNczDA5q", "linkedInUrl" : "https://www.linkedin.com/in/grosskatie/", "lastName" : "Gross", "firstName" : "Katie", "locationString" : "New York, NY, USA", "currentRole" : "Data Science Manager @ Dataiku", "domainFeatures" : [ "finance", "consulting", "customerSupport" ], "technicalFeatures" : [ "dataScience", "visualization", "recommenders" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects", "mockInterviews" ], "gitHubUrl" : "https://github.com/ktgross15", "readme" : "## About me\nI am an AI product manager at Dataiku with 8 years of experience as an analytical consultant, data scientist, data science manager, at Nielsen, Schireson, and Dataiku. I completed a Data Science bootcamp, Galvanize, several years ago and have continued to learn through on-the-job experience, and have seen businesses deploy data science projects across a wide array of industries, through my work at Dataiku.\n\n### What I expect from mentees\nI'm looking for mentees who have at least some basic knowledge of Python and ML, and are looking for roles as a Data Analyst, Data Scientist, or similar, and are willing to put some work in to find an awesome job!\n\n### What I can help with\nI can help build out full stack data science projects via code review & DS support, as well as resume review, interview prep, and help with job applications & networking strategy. I can commit ~2 hours per week with mentees. \n\n### Tech/Skill Stack\nPython, SQL, git, AWS, supervised & unsupervised learning, NLP, descriptive analytics, data viz", "isFormerMentee" : false }, { "_id" : "WfwJktjojtuSuJ7jk", "linkedInUrl" : "https://www.linkedin.com/in/amirtavasoli/", "lastName" : "Tavasoli", "firstName" : "Amir", "locationString" : "Toronto, ON, Canada", "currentRole" : "MLE @ Paytm Labs", "domainFeatures" : [ "retail", "eCommerce", "healthcare" ], "technicalFeatures" : [ "nlp", "recommenders", "dataEngineering" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "codeReview", "projects", "networking" ], "readme" : "### About me\nMachine Learning Engineer @ Paytm labs; Formerly Data Scientist @ Home Depot's eCommerce Team; Lead Data Scientist @ Canadian Tire \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and is familiar with Machine Learning packages in Python and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can do mock interviews for the job that they are applying. I will also help in understanding the Machine Learning concepts and the mathematics behind them. I maybe able to help in building your Data Engineering and Cloud related skills as well. Moreover, if I see potential in a person, I may decide to recommend them to my fellow data scientists as well. I'm especially interested in mentoring someone from comp sci/math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "nAbeGQEbKsfbCGvDA", "linkedInUrl" : "https://www.linkedin.com/in/jeremytraberowens/", "lastName" : "Owens", "firstName" : "Jeremy", "locationString" : "New York, NY, USA", "domainFeatures" : [ "edtech", "government", "consulting" ], "technicalFeatures" : [ "visualization", "nlp", "timeSeries" ], "currentRole" : "Data Migration Consultant", "gitHubUrl" : "https://github.com/zapatos24", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "https://medium.com/@jeremy.traber.owens", "isFormerMentee" : true }, { "_id" : "YW6mgfYXHXJ7ekqok", "linkedInUrl" : "https://www.linkedin.com/in/williamcox/", "lastName" : "Cox", "firstName" : "William", "locationString" : "Raleigh, NC, USA", "currentRole" : "Machine Learning Engineer @ Grubhub", "domainFeatures" : [ "cybersecurity", "government", "logistics" ], "technicalFeatures" : [ "productionization", "timeSeries", "dataEngineering" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nMachine learning engineer @ Grubhub doing forecasting. Formerly bot detection at Distil and building sonar systems for the US Navy. PhD in electrical engineering. \n### What I expect from mentees\nI’m looking to provide code reviews and encouragement to a mentee several times a week. I can provide guidance on how to improve the quality of your code and how to make it more like a production system or product. I expect mentees to be cheerful, willing to learn and flexible. \n### What I can help with\nI’ve been building ML systems with Python and AWS services for several years.", "isFormerMentee" : false }, { "_id" : "h8yuNJGcer2ymA2WS", "linkedInUrl" : "https://www.linkedin.com/in/mustafaibrahim1/", "locationString" : "Montreal, QC, Canada", "firstName" : "Mustafa", "lastName" : "Ibrahim", "gitHubUrl" : "https://github.com/mustyy", "currentRole" : "Mentor - Advisor", "domainFeatures" : [ "consulting", "software", "socialMedia" ], "technicalFeatures" : [ "nlp", "dataEngineering", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "Data Scientist with 6 years of extensive knowledge and practical experience in the areas of NLP, Machine Learning and AI. I thrive in mentoring both junior and seasoned data scientists in the industry. I find myself being able to adapt quickly and to wear different hats to drive data initiatives that help companies identify key issues and leverage technology to improve processes, develop cutting edge tools and solutions that make the lives of consumers easier.", "isFormerMentee" : false }, { "_id" : "sTHifJjHsqe9PMKy8", "linkedInUrl" : "https://www.linkedin.com/in/olabode-alamu/", "lastName" : "Alamu", "firstName" : "Olabode", "locationString" : "Houston, TX, USA", "currentRole" : "Data scientist @Shell", "domainFeatures" : [ "naturalResources" ], "technicalFeatures" : [ "dataScience", "deepLearning", "anomalyDetection" ], "mentorshipOfferings" : [ "codeReview", "projects", "mockInterviews", "oneOnOneCalls" ], "readme" : "### About me\nI am a Chemical engineer turned Data scientist, my engineering background has allowed me to be able to solve problems in multiple domains. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "websiteUrl" : "http://www.thefullstackninja.com", "isFormerMentee" : false }, { "_id" : "8PCCBXh7qJvfcpyC5", "firstName" : "Jeremie", "lastName" : "Harris", "gitHubUrl" : "https://github.com/jeremieharris", "linkedInUrl" : "https://www.linkedin.com/in/jeremieharris/", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "edtech" ], "technicalFeatures" : [ "dataScience", "analytics", "webDevelopment" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI'm on the team at SharpestMinds. If you have questions about how to connect with mentors, shoot me a message anytime!", "isFormerMentee" : false }, { "_id" : "a4RkTR95Cpur8EBb7", "linkedInUrl" : "https://www.linkedin.com/in/andrewmarchese", "lastName" : "Marchese", "firstName" : "Andy", "locationString" : "New York, NY, USA", "currentRole" : "Lead Data Scientist in NYC", "domainFeatures" : [ "research", "media", "retail" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking", "projects" ], "technicalFeatures" : [ "dataScience", "recommenders", "productionization" ], "readme" : "### About me\nMath PhD Lead Data Scientist in NYC\n### What I expect from mentees\nI'm looking for mentees who are comfortable with the basics of Python and data science packages. The ideal candidate will be looking to get stronger in model theory, building, and model deployment. I will meet with you to provide code review, office hours, and general support. I have a strong background in math/stats and I would be able to help prepare you for both the technical and theoretical aspects of the data science interview.", "isFormerMentee" : false }, { "_id" : "PKnFPiXmFqFK4LLoK", "linkedInUrl" : "https://www.linkedin.com/in/ramyagirishds/", "locationString" : "Toronto, ON, Canada", "firstName" : "Ramya", "lastName" : "Balasubramaniam", "currentRole" : "Senior Data Scientist, Loblaws Companies Limited.", "gitHubUrl" : "https://github.com/ramyagirish/myprojects", "websiteUrl" : "http://people.ischool.berkeley.edu/~ramya.girish/", "domainFeatures" : [ "consulting", "manufacturing", "travel" ], "technicalFeatures" : [ "nlp", "computerVision", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI have a highly quantitative background with more than five years of experience in Control Engineering, Signal Processing and Process Automation. I have worked on projects related to statistical analysis, anomaly detection, Machine Learning, Deep learning, computer vision and natural language processing. My mission in life is to help startups and to continuously contribute to the AI community through my work and practical realization of research publications. \n### What I expect from mentees\nI am looking for mentees who are absolutely passionate about what they do and are also keen on giving their best. People who evince interest in learning and actively contributing to the AI community. I believe that educational background or age has never determined anyone's true abilities. \n### What I can help with\nProgramming (python and R), Optimization, Visualization, Algorithmic design, Statistical analysis and modelling, Interview preparation and Mock interviews, Resume writing, Presentation Skills (for case interviews)", "isFormerMentee" : true }, { "_id" : "HxbYfdEgDNWvuG6Lh", "linkedInUrl" : "https://www.linkedin.com/in/nabilaabraham/", "lastName" : "Abraham", "firstName" : "Nabila", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior ML Engineer", "domainFeatures" : [ "healthcare", "research", "retail" ], "technicalFeatures" : [ "deepLearning", "computerVision", "dataScience" ], "mentorshipOfferings" : [ "projects", "codeReview", "networking", "oneOnOneCalls" ], "gitHubUrl" : "https://github.com/nabsabraham", "websiteUrl" : "https://www.nabilaabraham.com/", "readme" : "### About me\nI'm a research focused data scientist with experience in deep learning for healthcare/medical applications. I'm currently focused on graph representation learning but also have experience in computer vision and time series analysis problems. \n### What I expect from mentees\nI'm looking for mentees that are comfortable with Python + PyTorch and willing to commit > 10hours per week on applied research deep learning projects. I will provide research direction, code-review, regular one-on-one meetings and can probably help with deploying the project using MLOps. I'm especially interested in making use of graph neural networks for real-world applications (if you're interested too, hit me up!). I'm excited to mentor individuals who want to apply state of the art algorithms to solving everyday problems. More than anything, I'm excited about mentees that are willing to learn new technologies and collaborate on building ML/DL products! Please reach out to me if this sounds like you :) \n### What I can help with\nPython, PyTorch, git, databricks", "isFormerMentee" : false }, { "_id" : "3EbWTcS3w8txXS9T4", "linkedInUrl" : "https://www.linkedin.com/in/suryakari/", "lastName" : "Kari", "firstName" : "Surya", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "insurance", "retail" ], "technicalFeatures" : [ "nlp", "dataScience", "computerVision", "tabular", "dataEngineering", "deepLearning", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nSenior Data Scientist @Opta; formerly @BMO, @Hershey; building models to assess insurable damage to a property based on image data \n### What I can help with\nDeep learning, machine vision, NLP, chatbots, pricing models", "isFormerMentee" : false }, { "_id" : "NuKmNLu9TFgDfbPoC", "linkedInUrl" : "https://www.linkedin.com/in/numadhamani/", "lastName" : "Dhamani", "firstName" : "Numa", "locationString" : "Austin, TX, USA", "currentRole" : "Data Scientist at The Global Disinformation Index", "domainFeatures" : [ "research", "socialMedia", "consulting" ], "technicalFeatures" : [ "nlp", "dataScience", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "https://numadhamani.com/", "readme" : "### About\nI am a Data Scientist at [The Global Disinformation Index](https://disinformationindex.org/) where I work on detecting and demonetizing the spread of online disinformation. Most recently, I was a Machine Learning Engineer at [Yonder](https://www.yonder-ai.com/) (formerly New Knowledge) where I focused on understanding influence operations at scale and served as the Principal Investigator on a DARPA research program for developing automated machine learning systems. Previously, I was a Data Scientist at Accenture’s [Houston Innovation Hub](https://www.accenture.com/us-en/about/company/houston-innovation-hub) where I worked on short-term global client engagements across various industries.\n\n**Note:**\nCurrently, I am only advising mentees who have a strong foundation in data science. I am also focusing on job support (resume/cover letter reviews, interview prep, white-boarding practice, networking support, and code reviews) with my mentees.", "isFormerMentee" : false }, { "_id" : "8Qh5hnB9AshPxC4Pg", "linkedInUrl" : "https://www.linkedin.com/in/patrickmcfarlane1/", "lastName" : "McFarlane", "firstName" : "Patrick", "locationString" : "Philadelphia, PA, USA", "currentRole" : "Lead Quantitative Analyst, Player Evaluation @Philadelphia Phillies", "domainFeatures" : [ "finance", "sports", "transportation" ], "technicalFeatures" : [ "dataScience", "deepLearning", "visualization" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects", "mockInterviews" ], "readme" : "### About me\nSports data scientist focused on basketball and baseball, current with the Philadelphia Phillies. Formerly aviation safety @MITRE and data engineer @Bloomberg \n### What I expect from mentees\nI'm looking for mentees that are familiar with the basics of Python and machine learning looking to bolster their full-stack data science skills on an applied project. I'm flexible on the time commitment, but I would expect at least 5 hours per week of dedicated focus on the project. I will be available for one-on-one meetings, project brainstorming, and code-review. I believe I'd be most helpful in developing machine learning skills, from data collection, ETL processes, and feature and model selection.", "isFormerMentee" : false }, { "_id" : "5NzYabqatYSJa4ksE", "linkedInUrl" : "https://www.linkedin.com/in/aparna-chugh-3179641b/", "lastName" : "Chugh", "firstName" : "Aparna", "locationString" : "Toronto, ON, Canada", "currentRole" : "Analytics Consultant @ CIBC", "domainFeatures" : [ "consulting", "finance" ], "mentorshipOfferings" : [ "codeReview", "networking" ], "technicalFeatures" : [ "analytics", "timeSeries", "visualization" ], "readme" : "### About me\nAnalytics Consultant @ CIBC, formerly Intern Consultant @ Deloitte and Statistics Advisor @ Rio Tinto \n### What I expect from mentees\nI'm looking got mentees that are comfortable with the programming languages and Data Science concepts. I will guide in reviewing the codes and suggest ideas to improve, and provide tips on networking and building portfolios. I am interested in mentoring someone from math and stat background.", "isFormerMentee" : false }, { "_id" : "eJHB5jsXpmoCMPtZZ", "linkedInUrl" : "https://www.linkedin.com/in/asajadi/", "lastName" : "Sajadi", "firstName" : "Armin", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist @XE.com", "domainFeatures" : [ "research", "software", "finance" ], "technicalFeatures" : [ "nlp", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "projects", "oneOnOneCalls" ], "gitHubUrl" : "https://github.com/asajadi", "readme" : "### About me\nSenior Data Scientist @XE.com; formerly @Google, @Dalhousie University \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python or programming in general. I \n I will provide code-review, and regular one-on-one meetings. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "kGMa69iD4ZuxyEsNS", "linkedInUrl" : "https://www.linkedin.com/in/reza-farahani-b490b236/", "lastName" : "Farahani", "firstName" : "Reza", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist Consultant @BCG", "domainFeatures" : [ "finance", "consulting", "software" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking" ], "technicalFeatures" : [ "dataScience", "recommenders", "deepLearning" ], "readme" : "### About me\nData Scientist Consultant @BCG\nformerly @TD Bank; @SOTI Innovation Lab \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well. \n### What I can help with\nPython, AWS, Tensorflow, PyTorch", "isFormerMentee" : false }, { "_id" : "iYk6yoFi5ZQ956JMz", "linkedInUrl" : "https://www.linkedin.com/in/jakectcheng/", "lastName" : "Cheng", "firstName" : "Jake", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "finance", "cybersecurity", "digitalMarketing" ], "technicalFeatures" : [ "nlp", "dataScience", "analytics", "dataEngineering", "anomalyDetection" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nSenior Data Scientist @Hubba; formerly @TD Bank; built content-based recommenders and fraud detection systems \n### What I can help with\nClassic ML learning, deep learning, NLP, RNN, CNN, GAN, Docker, GCP, PyTorch, Tensorflow/Keras, recommender system", "isFormerMentee" : false }, { "_id" : "rbPQrJdDe2Cg9Y6Aa", "linkedInUrl" : "https://www.linkedin.com/in/arpit-jain-47953145", "lastName" : "Jain", "firstName" : "Arpit", "locationString" : "Mississauga, ON, Canada", "currentRole" : "Azure Data Enginner", "domainFeatures" : [ "software", "insurance", "finance" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "codeReview" ], "technicalFeatures" : [ "analytics", "tabular", "dataEngineering" ], "readme" : "### About me\nI have 12 year experience in data related projects in IT industry. \nLast 6 years I am serving myself as Data Engineer and working on Azure, pyspark, Spark based projects. \n### What I expect from mentees\nI will expect from mentees that should be keen to learn and should not be rigid towards any particular technology. \nAlso mentee should not expect spoon feeding from mentor.", "isFormerMentee" : false }, { "_id" : "eEdgAZe48zQTBjjYv", "linkedInUrl" : "https://www.linkedin.com/in/richard-abrich/", "firstName" : "Richard", "lastName" : "Abrich", "locationString" : "Toronto, ON, Canada", "gitHubUrl" : "https://github.com/abrichr", "currentRole" : "Computer vision engineer @Arterys; formerly robotics @Kindred", "domainFeatures" : [ "healthcare", "robotics" ], "technicalFeatures" : [ "deepLearning", "computerVision", "dataEngineering", "devops", "reinforcementLearning", "nlp", "webDevelopment" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nComputer vision engineer @Arterys; formerly robotics @Kindred; built reinforcement learning systems for robots, then built a deep learning healthcare startup for humans \n### What I can help with\nComputer vision, RL, and healthcare applications", "isFormerMentee" : false }, { "_id" : "PQNMMmdTecJNEpwou", "firstName" : "Ed", "lastName" : "Mentor", "gitHubUrl" : "http://github.com/edouard-harris", "linkedInUrl" : "https://www.linkedin.com/in/e10is/", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "finance" ], "technicalFeatures" : [ "nlp" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nHi there! I'm not a real mentor. I'm a test account that SharpestMinds admins use to make sure everything's working properly :) \n### What I can help with\nAdministrative issues; bugs. Feel free to book me if you need support!", "isFormerMentee" : false }, { "_id" : "FuKR4QjuGYCCFfEMh", "linkedInUrl" : "https://www.linkedin.com/in/debadyutirc/", "lastName" : "RoyChowdhury", "firstName" : "Debadyuti", "locationString" : "Burlington, ON, Canada", "currentRole" : "Product Leader - AI", "domainFeatures" : [ "healthcare", "security", "research" ], "mentorshipOfferings" : [ "oneOnOneCalls", "codeReview", "mockInterviews", "networking", "projects" ], "technicalFeatures" : [ "dataScience", "visualization", "deepLearning" ], "gitHubUrl" : "https://github.com/debadyutirc", "readme" : "### About me\nCurrently building the data stack for a SaaS product focusing on full circle eCommerce data. Former AI Product Manager @ GM, AI Solutions Lead @ Center of Innovation, DataFoundry, Head of Data Science @ Kovid Labs, Led research projects with faculty, doctoral and post-doctoral researchers at sever Indian Institute of Technologies. Worked in BI, multi-modal analytics and machine learning since 2009!\n\n### What I expect from mentees\nI wholeheartedly believe in the idea that Cal Newport shares in his books \"Deep Work\" and \"So Good They Can't Ignore You\"; Passion is developed in areas where you spend a lot of time and efforts in.\n\nIf you are driven to experiment and learn the nuances of data sciences and have some understanding of programming you are good. There are a thousand ways to solve a problem using computation and I am here to help provide you with the direction. I can help you with the resources to learn the process, do code reviews, help you with the networking events, help with interviews through one on one calls and recommended meetups.\n\nWhere you would want to go matters more to me than where you came from, but to be realistic most data jobs looks for a STEM background. If you don't have the background in education or experience, but you are willing to put the efforts and be patient do reach out.\n\nLooking forward to connecting with you. \n### What I can help with\nData Product Management, Multimodal full stack data science.", "isFormerMentee" : false }, { "_id" : "szz6ruhK7Eionkz5p", "linkedInUrl" : "https://www.linkedin.com/in/armundle/", "lastName" : "Mundle", "firstName" : "Aditya", "locationString" : "Austin, TX, USA", "currentRole" : "Engineering Manager, Deep Learning @Intel", "domainFeatures" : [ "healthcare", "travel", "software" ], "technicalFeatures" : [ "nlp", "productionization", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "projects", "oneOnOneCalls", "networking" ], "readme" : "### About me\nEngineering Manager/ML Architect @Intel. Startup vet. OG Machine Learning Engineer: Data Science + ML Engineer + ML Ops", "isFormerMentee" : false }, { "_id" : "cuHEJ4yEqAvxXAPRb", "linkedInUrl" : "https://www.linkedin.com/in/farzad-qassemi-62297216/", "lastName" : "Qassemi", "firstName" : "Farzad", "locationString" : "Toronto, ON, Canada", "currentRole" : "CEO AIQTECH INC", "domainFeatures" : [ "semiconductor", "saas", "research" ], "technicalFeatures" : [ "nlp", "dataScience", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "projects" ], "readme" : "### About me\nMachine learning scientist at Wolfram Research Inc, aka Mathematica, Lead NLP scientist at Ailly, CEO/Co-founder @ AiQ \n### What I expect from mentees\nI am looking for mentees with prior knowledge of programming (data structure and algorithms) in general, and python in particular, with some prior exposure to sklearn, keras, and git. It is expected that mentees spend more than 10 hrs per week going above and beyond discussed materials. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "2vK5m3Dr7rcjGgXc6", "linkedInUrl" : "https://www.linkedin.com/in/tianjiao-liu-91b0a893/", "lastName" : "Liu", "firstName" : "Stephanie", "locationString" : "Montreal, QC, Canada", "currentRole" : "data scientist @Air Canada", "domainFeatures" : [ "gaming", "consulting", "transportation" ], "technicalFeatures" : [ "dataScience", "visualization", "productionization" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "projects", "oneOnOneCalls", "networking" ], "readme" : "### About me\ndata scientist @air canada formerly @ Gameloft, enthusiastic in AI product design", "isFormerMentee" : false }, { "_id" : "4TegpFwp9EZDbcKKh", "linkedInUrl" : "https://www.linkedin.com/in/mhumblot/", "firstName" : "Martial", "lastName" : "Humblot", "locationString" : "Toronto, ON, Canada", "websiteUrl" : "http://www.comfiz.com", "currentRole" : "Founder @Comfiz", "domainFeatures" : [ "consulting", "finance" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI spent the last 20 years in the telecoms and software industry. I like to manage multi-cultural teams and develop businesses in fast-evolving and competitive markets. \n\nSpecialties: product management, business management & development, project management, software architecture design, data modelin \n### What I can help with\nFeature Engineering and models design, Data engineering, Data Pipelines Design", "isFormerMentee" : false }, { "_id" : "w3baveXnkKmAX87Lg", "linkedInUrl" : "https://www.linkedin.com/in/navshaai/", "lastName" : "Sharma", "firstName" : "Navneet", "locationString" : "Vancouver, BC, Canada", "currentRole" : "Tech Entrepreneur", "domainFeatures" : [ "software", "saas", "eCommerce" ], "technicalFeatures" : [ "computerVision", "deepLearning", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "projects", "oneOnOneCalls" ], "readme" : "### About me\nTech Entrepreneur. Formerly Founder and CEO, Artifacia \n### What I expect from mentees\nI'm looking for mentees who are already Software Engineers with at least 2 years of experience in the industry and who want to transition to ML Engineer/Data Scientist roles. Mentees need to be familiar with Python and basics of high-school math. I will help with choosing the right projects, code reviews, putting models in production, one-on-one meetings and overall guidance in career decisions.", "isFormerMentee" : false }, { "_id" : "MsnShnNFh9d9uByj2", "linkedInUrl" : "https://www.linkedin.com/in/khaledammar/", "lastName" : "Ammar", "firstName" : "Khaled", "locationString" : "Waterloo, ON, Canada", "currentRole" : "Head of Data", "domainFeatures" : [ "finance", "research", "legal" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "nlp" ], "mentorshipOfferings" : [ "networking", "oneOnOneCalls", "mockInterviews" ], "readme" : "### About me\nKhaled leads a team of data scientists and engineers in a vibrant research lab in Waterloo. He has a significant experience in building intelligent systems using big data and machine learning. His PhD research focuses on graph data processing and resulted in multiple publications. \n### What I expect from mentees\nI am looking for people who are excited about technology and willing to spend time and effort to be good data scientist - there is no magic wand, just a hard work! I expect you to know how to write code, preferably in Python, and know some basic data structures.", "isFormerMentee" : false }, { "_id" : "ABmsNRa46yqy4uRAQ", "linkedInUrl" : "https://linkedin.com/in/ninalopatina", "lastName" : "Lopatina", "firstName" : "Nina", "locationString" : "Menlo Park, CA, USA", "currentRole" : "VP of Data Science @ IQT Labs", "domainFeatures" : [ "research", "bci" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "projects", "oneOnOneCalls" ], "technicalFeatures" : [ "dataScience", "nlp", "reinforcementLearning" ], "readme" : "### About me\nVP of Data Science @ IQT Labs, previously postdoc @ UC Berkeley. \n\n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and have some machine learning/deep learning experience, and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your NLP skills. I have expertise in machine translation research, and am currently only mentoring projects in this space.", "isFormerMentee" : false }, { "_id" : "GCF34XztgeKPBR5F4", "linkedInUrl" : "https://www.linkedin.com/in/farrokh-mansouri-b570b1b/", "lastName" : "Mansouri", "firstName" : "Farrokh", "locationString" : "Toronto, ON, Canada", "currentRole" : "Head of Data Science @ COMMB", "domainFeatures" : [ "healthcare", "software", "research" ], "technicalFeatures" : [ "dataScience", "timeSeries", "dataEngineering" ], "mentorshipOfferings" : [ "networking", "oneOnOneCalls", "projects", "mockInterviews", "codeReview" ], "readme" : "### About me\n\nData scientist with background in medicine, neuroscience, climate, transit and advertising. Engineer by training, graduate studies in healthcare, medical devices, and neuroscience. ex entrepreneur using data science to predict the effects of climate change on financial assets. Previously, built software to solve major public transit problems. Currently, focusing in using data science for advertising and marketing.", "isFormerMentee" : false }, { "_id" : "n7osfqesgqdbxKB6i", "linkedInUrl" : "https://www.linkedin.com/in/kjchoi/", "lastName" : "Choi", "firstName" : "Kevin", "locationString" : "Atlanta, GA, USA", "domainFeatures" : [ "logistics", "media", "retail" ], "technicalFeatures" : [ "dataEngineering", "dataScience", "productionization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "networking", "projects", "codeReview", "mockInterviews" ], "currentRole" : "Machine Learning Engineer @ Spreetail", "gitHubUrl" : "https://github.com/kjchoi10", "websiteUrl" : "http://www.kevinjchoi.com", "readme" : "### About me\nI'm a machine learning engineer who specializes in time series and forecasting, but I've been careful with my career to make sure I'm not too focused in one area and picking up software and leadership skills. I've generally been teaching my mentees how to scope and deploy ML models into production, reinforcing key statistical and programming concepts, and developing data science acumen in a business setting.\nI currently love my job being a machine learning engineer for a startup. For me, I enjoy a balance of business problem solving, research, mathematics, programming, and teaching, which thankfully my job offers me. As far as my teaching experience, I've been teaching my co-workers and bootcamp students for 5 years, and I'm passionate about teaching others. I've worked for NBCUniversal, and currently focus on developing a machine learning forecasting engine for Newell Brands. Oh! And I once saw Steve Harvey on the back lot studios of NBCUniversal. \n### What I expect from mentees\nI’m looking for mentees that value personalized coaching, and has had exposure to college level mathematics (i.e. linear algebra, calculus, and basic statistics). Successful mentees should value fundamentals like computer science, statistics, and mathematics, and mange their expectations in job placement depending on their experience with these concepts. I also value mentees who have business acumen. Mentees should already be comfortable with Python and be willing to commit 10>hours per week on full stack data science projects. I’ll provide code review, project assignments, and coach you through data science interviews with customized interview questions and tests. \n### What I can help with\nMathematics of machine learning, statistics, data presentation, Python, R, Pyspark, SQL", "isFormerMentee" : false }, { "_id" : "F53esmXLno4wAEuCc", "firstName" : "Diego", "lastName" : "Represas", "linkedInUrl" : "https://www.linkedin.com/in/diego-represas-73256333/", "locationString" : "San Francisco, CA, USA", "gitHubUrl" : "https://github.com/diegorep", "currentRole" : "Running AI @Digit.co", "domainFeatures" : [ "finance" ], "technicalFeatures" : [ "deepLearning", "nlp", "timeSeries", "dataEngineering", "devops", "analytics", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nRunning AI @Digit.co; built a human-in-the-loop, continuous learning pipeline to do automated budgeting for tens of thousands of users \n### What I can help with\nAnomaly detection, large scale data engineering, human-in-the-loop systems, NLP", "isFormerMentee" : false }, { "_id" : "i5uJZf2hTjFRPRAMT", "linkedInUrl" : "https://www.linkedin.com/in/andj/", "lastName" : "J", "firstName" : "Andj", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "finance", "realEstate", "saas" ], "technicalFeatures" : [ "nlp", "unsupervised", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking" ], "readme" : "### About me\nAsk me about finding a job, startups, data science career paths, banking, eCommerce, internships and data science soft skills! \n### What I expect from mentees\nHi there! I can help with career path / job hunt advice, mock interviews, code review, soft skills and guidance on the project you're working on. I can also give insight on data science in the real world and how your project would differ if it was being completed in the workplace. \n### What I can help with\nPython, SQL, Github", "isFormerMentee" : false }, { "_id" : "EtMyTYipQMaFCCKsL", "linkedInUrl" : "https://www.linkedin.com/in/anirkaushik/", "lastName" : "Kaushik", "firstName" : "Anir", "currentRole" : "Product/Data at Microsoft", "domainFeatures" : [ "finance", "software", "infrastructure" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls" ], "technicalFeatures" : [ "webDevelopment", "dataEngineering", "deepLearning" ], "locationString" : "Los Angeles, CA, USA", "isFormerMentee" : false }, { "_id" : "9cSkZcy6FGWHw7PPE", "linkedInUrl" : "https://www.linkedin.com/in/rjsbhatia/", "lastName" : "Bhatia", "firstName" : "Ramanjot", "locationString" : "Hamilton, ON, Canada", "domainFeatures" : [ "healthcare", "software" ], "technicalFeatures" : [ "nlp", "productionization", "dataScience" ], "mentorshipOfferings" : [ "codeReview", "networking", "oneOnOneCalls" ], "readme" : "### About me\n•\tMachine Learning/Natural Language Processing expert with over 12 years of experience\n•\tBuilt large-scale AI systems from concept to completion \n•\tExperience in online competitions (kaggle.com):- globally ranked in top 1% \n### What I expect from mentees\nYou should be comfortable with programming, python is preferred. \nYou will need to commit time, more if you are less familiar with the topic. \nI can help in code-review and guide a project. \n### What I can help with\nNLP, Machine learning. Code review. Python", "isFormerMentee" : false }, { "_id" : "8kz58EaA9fzNFwJ8L", "linkedInUrl" : "https://www.linkedin.com/in/julbautista/", "lastName" : "Bautista", "firstName" : "Julian", "locationString" : "New York, NY, USA", "domainFeatures" : [ ], "technicalFeatures" : [ ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking" ], "readme" : "### What I expect from mentees\nI'm looking for mentees that have a strong technical base, but are looking to shore up few holes in their game by getting some more practice in and reducing the unknown unknowns in applying to data roles. Being very experienced in industry, I can help someone make the leap from programmer/statistician into real world problem solver. I can perform code review and one-on-one meetings but I am also more than willing to give advice on soft skills such as communication, interview/resume prep, networking, decision making.", "isFormerMentee" : false }, { "_id" : "CAgMyGGCaixoFSRSu", "linkedInUrl" : "https://www.linkedin.com/in/gilbert-jiang-96134b16/", "lastName" : "Jiang", "firstName" : "Gilbert", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist @ Deloitte Omnia AI", "domainFeatures" : [ "consulting", "healthcare", "research", "retail" ], "technicalFeatures" : [ "dataScience", "computerVision", "deepLearning", "analytics", "anomalyDetection" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nSenior data scientist @Omnia (Deloitte Canada’s AI practice); computer vision and fraud detection specialist; experience with academic research environments \n### What I can help with\nComputer vision, unstructured data, deep learning", "isFormerMentee" : false }, { "_id" : "erneCvKaLeMJ77N73", "firstName" : "Om", "lastName" : "Patri", "linkedInUrl" : "https://www.linkedin.com/in/ompatri/", "gitHubUrl" : "https://github.com/ompatri", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data & ML", "domainFeatures" : [ "research", "consulting", "saas" ], "technicalFeatures" : [ "dataScience", "productionization", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nCS PhD; Experience with AI/ML research, data engineering, and cloud architecting; Python/Spark/SQL/AWS stack \n### What I expect from mentees\nProficient with Python or SQL, and looking to learn about cloud data engineering & ML deployments. \n### What I can help with\nCloud data & ML engineering, DevOps, AWS certification, interview prep - technical & behavioural.", "isFormerMentee" : false }, { "_id" : "crY99nLnnYjJREDZT", "linkedInUrl" : "https://www.linkedin.com/in/vartaiangary/", "lastName" : "Vartanian", "firstName" : "Gary", "locationString" : "Los Angeles, CA, USA", "currentRole" : "Data Scientist @ Sabio Mobile", "domainFeatures" : [ "finance", "research", "digitalMarketing" ], "technicalFeatures" : [ "dataScience", "analytics", "timeSeries" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "My strength as a mentor is the fact that I am a recent graduate so I understand the trouble and hardships that people early in their journey face. Employment is hard, employment is even harder when you don't have experience. This is where I feel I can help as a mentor to help you build a portfolio, brand, network, market yourself, and make sure you LAND THAT JOB!!!! \n\nThings that I can help them with: \n- Interview Prep\n- Resume Review\n- Branding and Networking\n- Project Unblocking\n- Portfolio Creation\n- Tips on Applying and accountability\n\nMy Background:\n\nI am a data scientist with experience in: adtech and finance industry. \nStudied economics and statistics at UCLA, did my undergraduate and graduate education there. \n\nMy experiences:\n- Researcher at UCLA\n- Data Scientist at Media Imports (wholesaler)\n- Data Science Consultant at Logos News (News company)\n- Data Scientist at Sabio Mobile/AppScience Labs (adtech)\n- Chief Data Officer at Ornus Capital (crypto analytics)\n- Data Scientist/Operations at CoinGenius (crypto analytics)\n\nOn the side, I've worked in finance at:\n- Almitas capital (hedge fund), \n- CrestPoint (Private Equity), \n- Wedbush (Securities Broker)\n\nMy main interests started in quantitative finance and financial engineering, which is why I studied econ and stats, to go down the quant route, so things like time series, research strategies, reinforcement learning are my interests. As I got more involved with working on data science projects, liked the business application and value proposition side as well. Following both roles now, working full time in adtech to appease the business application and then crypto analytics on the side to appease the quant/nerd version of me.", "isFormerMentee" : false }, { "_id" : "BfzjiDsAsK4HespCd", "linkedInUrl" : "https://www.linkedin.com/in/ramanfu/", "lastName" : "Amanfu", "firstName" : "Robert", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist @ Stripe", "domainFeatures" : [ "finance", "healthcare", "government" ], "technicalFeatures" : [ "dataScience", "timeSeries", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking" ], "readme" : "### About me\nData Scientist @ Stripe, Formerly Data Scientist @ Capital One and Civis Analytics \n### What I expect from mentees\nI am looking for mentees willing to commit > 10 hrs/week on a Data Science project. Open to mentoring diverse backgrounds. I will provide code-review and regular one-on-one syncs.", "isFormerMentee" : false }, { "_id" : "ppbzNviFpgRviTrks", "linkedInUrl" : "https://www.linkedin.com/in/aditya-joshi-07878937/", "lastName" : "Joshi", "firstName" : "Aditya", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Engineer @ BCG GAMMA", "domainFeatures" : [ "software", "consulting", "naturalResources" ], "technicalFeatures" : [ "productionization", "tabular", "deepLearning" ], "readme" : "### About me\nMachine Learning Engineer at BCG GAMMA. Formerly graduate student at Mila - Quebec AI Institute, Software Development Engineer at Amazon Web Services.", "isFormerMentee" : false }, { "_id" : "EtLJW8Qo5p3xyxTaw", "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls" ], "domainFeatures" : [ "travel" ], "technicalFeatures" : [ "analytics", "visualization" ], "linkedInUrl" : "https://www.linkedin.com/in/brandonreynolds2488/", "lastName" : "Reynolds", "firstName" : "Brandon", "locationString" : "Dallas, TX, USA", "currentRole" : "Senior Manager Agency Operations", "readme" : "### About me\nI've been involved in data analytics at American Airlines for 9 years in various capacities. My current role has really allowed me to focus on identifying the true customer behaviors and insights. I lead a team of data analysts that work hard to tell the story of our customers through data. \n### What I expect from mentees\nI'm passionate about finding compelling and unique ways to tell stories through data. I'm looking to help out a mentee that wants to improve their data visualization skills and consider the business impact on proper implementation of analytical solutions. My background started on the BU side so I like to apply the business logic to data analysis to build compelling business solutions.", "isFormerMentee" : false }, { "_id" : "HPTC5FJu3k4skQfcx", "linkedInUrl" : "https://www.linkedin.com/in/babak-afshin-pour/", "lastName" : "Afshin-Pour", "firstName" : "Babak", "locationString" : "Toronto, ON, Canada", "currentRole" : "VP Technology", "domainFeatures" : [ "healthcare", "finance" ], "mentorshipOfferings" : [ "mockInterviews", "projects", "codeReview" ], "technicalFeatures" : [ "dataScience", "computerVision", "timeSeries" ], "readme" : "### About me\nBabak is a founding member of our engineering team in BioSymetrics Inc., and leads technical development and product architecture of BioSymetrics’ machine learning platform. He has expertise in big data analytics, biomedicine, advanced signal and image processing. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and willing to commit 2 hrs per week on a Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in computer vision/ apache spark.", "isFormerMentee" : false }, { "_id" : "FcsTj6AenHWaToSeH", "linkedInUrl" : "https://www.linkedin.com/in/tolgatuncoglu/", "lastName" : "Tuncoglu", "firstName" : "Tolga", "locationString" : "Roseland, New Jersey, Amerika Birleşik Devletleri", "currentRole" : "Lead Data Scientist @ ADP", "domainFeatures" : [ "research", "healthcare", "humanResources" ], "technicalFeatures" : [ "nlp", "dataScience", "timeSeries" ], "mentorshipOfferings" : [ "oneOnOneCalls", "codeReview", "networking", "mockInterviews" ], "readme" : "### About me\nData Scientist w 10 yrs exp. Python user. Tableau Enthusiast. Rusty R user.\n\nBS in Statistics and MS in Biostatistics.\n\nMy career in 10 sec: \nStarted as a Data Analyst and National Research Expert @ EMCDDA, \nIT Manager @ TNP Aviation, \nFreelance Data Scientist,\nLead Data Scientist @ ADP \n### What I expect from mentees\nI'm a huge believer in the science part of Data Science. I'm looking for mentees who are trying to design the right experiment and get some results. I'm not the brute force hacker stats type. \nI'm expecting the same approach from my mentees. I can and will, inform you about a topic so you can research, we can review your research design and code, open and believer of 1-1 calls to make progress. I code in Python, familiar with R, I can help more if you are also a Python coder.\nThis is a two-way commitment, if you can commit at least 10 hrs per week, I would love to work, if you can't and looking for somebody to keep handy, we can still work but we have to be open from the first minute to last.", "isFormerMentee" : false }, { "_id" : "cc4HQS6okjxEBD7LP", "linkedInUrl" : "https://www.linkedin.com/in/sunny-zhu-bi-ninja/", "lastName" : "Zhu", "firstName" : "Sunny", "locationString" : "New York, NY, USA", "domainFeatures" : [ "eCommerce", "gaming", "consulting" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "codeReview", "projects", "oneOnOneCalls" ], "technicalFeatures" : [ "analytics", "visualization", "timeSeries" ], "currentRole" : "Director of Data & Analytics @Maisonette", "readme" : "### About me\nAlso have extensive marketing/ product analytics experience, AB testing lead \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with SQL/ Excel and R, basic visualization experience. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your marketing/ attribution analytics and product analytics skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "FgeL5pQsHiBoRBdSR", "linkedInUrl" : "https://www.linkedin.com/in/myazhbin/", "lastName" : "Yazhbin", "firstName" : "Max", "locationString" : "New York, NY, USA", "currentRole" : "CEO at Retiurcer", "domainFeatures" : [ "research", "software", "edtech" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "deepLearning", "computerVision", "webDevelopment" ], "readme" : "### About me\nformer @Vevo, former @Retiurcer \n### What I expect from mentees\nLooking for someone that has done some prior self-education such as harvard/stanford/etc courses or reading software engineering books and implementing code. I want to be your guide and you bring the will", "isFormerMentee" : false }, { "_id" : "3PZEjHFazEtqCsMQv", "linkedInUrl" : "https://www.linkedin.com/in/adichaudhary/", "lastName" : "Chaudhary", "firstName" : "Aditya", "locationString" : "Orlando, FL, USA", "currentRole" : "Data Scientist @ Deloitte", "domainFeatures" : [ "consulting", "humanResources" ], "technicalFeatures" : [ "dataScience", "anomalyDetection", "nlp" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects", "mockInterviews" ], "readme" : "### About me\nData Scientist at Deloitte, previously Data Analyst at Accenture \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings. I'll help prepare for interviews as well by taking mock interviews.", "isFormerMentee" : false }, { "_id" : "LDr6pHrrxXQE3q4DP", "linkedInUrl" : "https://www.linkedin.com/in/tristan-francisco-61b2ba79/", "lastName" : "Francisco", "firstName" : "Tristan", "locationString" : "Toronto, ON, Canada", "isFormerMentee" : false }, { "_id" : "JjnadtbbSKJfi7rQ3", "linkedInUrl" : "https://www.linkedin.com/in/harshadshah1/", "lastName" : "Shah", "firstName" : "Harshad", "locationString" : "Hartford, CT, USA", "currentRole" : "Data scientist @TheHartford", "domainFeatures" : [ "insurance", "consulting" ], "technicalFeatures" : [ "dataScience", "analytics", "unsupervised" ], "readme" : "### About me\nData science professional with a Masters in Business Analytics", "isFormerMentee" : false }, { "_id" : "bERLfhTLnSyHKbSTt", "firstName" : "Michael", "lastName" : "Shuffett", "linkedInUrl" : "https://www.linkedin.com/in/mshuffett/", "locationString" : "San Francisco, CA, USA", "currentRole" : "Partner @Quant Collective; formerly @Amazon, @Disney", "domainFeatures" : [ "consulting" ], "technicalFeatures" : [ "deepLearning", "reinforcementLearning", "recommenders", "dataEngineering", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nPartner @Quant Collective; formerly @Amazon, @Disney; architected and delivered platform for data analytics that increased annual revenues at Amazon by $2 billion \n### What I can help with\nMachine learning with massive datasets in real-time", "isFormerMentee" : false }, { "_id" : "sCd7mHBpFYgndgajc", "domainFeatures" : [ "software", "research" ], "technicalFeatures" : [ "nlp", "computerVision", "timeSeries", "devops", "productionization" ], "linkedInUrl" : "https://www.linkedin.com/in/domenic-rosati-1a2405a0/", "lastName" : "Rosati", "firstName" : "Dom", "locationString" : "Halifax, NS, Canada", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\n\nMachine Learning Research @ Valence (CDL 2019); building AI agents to automate resource allocation for cloud containers .\n\n### What I can help with\n\nNLP, computer vision, ML in Go, video processing, devops, Kubernetes, Timeseries, Linear Modeling, Control Systems, Software engineering, Platform engineering, Data engineering.", "isFormerMentee" : false }, { "_id" : "YP9FK4EoSte8iAm9E", "linkedInUrl" : "https://www.linkedin.com/in/farazazaidi/", "lastName" : "Zaidi", "firstName" : "Faraz", "locationString" : "Brampton, ON, Canada", "currentRole" : "Data Scientist", "domainFeatures" : [ "research", "consulting", "government" ], "mentorshipOfferings" : [ "projects", "codeReview", "mockInterviews", "oneOnOneCalls" ], "technicalFeatures" : [ "dataScience", "visualization", "unsupervised" ], "readme" : "### About me\nI am a Data Scientist at the Regional Municipality of Peel and a visiting faculty member at York University. Please check out my full profile on LinkedIn to know more about me and my google scholar page to know about my research areas.\n\nI have previously worked in academia as an assistant professor, as a research scientist in research departments, and am currently working as a Data Scientist in the industry. I have lots of experience working on a wide range of projects ranging from text mining, image processing, networks, graphs, and data visualization within health, finance, transportation, social networks, marketing, and other domains. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with at least one programming language or scripting language such as Python, R, C#, Java. They should be willing to commit >10 hrs per week. \n\nI can help with carving out a learning path, work on a project, or a complete product based on their existing skills, and try to fill any skill gaps they have. \n### What I can help with\nData Mining,\nMachine Learning,\nData Visualization,\nSocial Network Analysis/ Graph Algorithms,\nArtificial Intelligence\n\nPython/R\nMicrosoft Power BI,\nSQL Server,", "isFormerMentee" : false }, { "_id" : "bv6ab9sJTvnEpaC5a", "linkedInUrl" : "https://linkedin.com/in/ilmlabs", "lastName" : "Raza", "firstName" : "Mohammad", "locationString" : "Chicago, IL, USA", "currentRole" : "Data Scientist @kpmg", "domainFeatures" : [ "healthcare", "finance", "bci" ], "mentorshipOfferings" : [ "codeReview" ], "technicalFeatures" : [ "computerVision", "deepLearning", "productionization" ], "readme" : "### About me\nI am currently a data scientist at KPMG working on imaging and natural language processing problems. My background is in signal processing and medical imaging. I am not only mentoring but actively hiring candidates for my team at KPMG. \n### What I expect from mentees\nI'm looking for mentees that are comfortable with Python and sklearn. Bonus points if you are experienced with NLTK. I expect that you can commit to more than 8 hrs a week on a full-stack Data Science project. I will provide code-review, one-on-one meetings, and help develop machine learning pipelines. \n### What I can help with\nKeras/Tensorflow\nscikit-learn\nopen-cv\nnltk\nflask\nmachine learning pipeline tools (luigi, celery)\ncode optimization", "isFormerMentee" : false }, { "_id" : "AYg5wgmCsLTrmtSCi", "linkedInUrl" : "https://www.linkedin.com/in/kunal-kohli-a8815b80/", "lastName" : "Kohli", "firstName" : "Kunal", "locationString" : "Ottawa, ON, Canada", "currentRole" : "Data @ Shopify", "domainFeatures" : [ "retail" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "networking", "codeReview", "mockInterviews" ], "technicalFeatures" : [ "dataScience", "recommenders", "analytics" ], "readme" : "### About me\nWorking with Data at Shopify. Formerly worked as a Data Scientist with Canadian Tire to implement Recommender system/ Customer segmentation models for the weekly marketing campaign for Canadian Tire's Triangle campaign. \n### What I expect from mentees\nI am looking for a mentee who is eager to learn new stuff and is always open for challenges. I am not just looking to guide someone but also learn from them.", "isFormerMentee" : false }, { "_id" : "v86gbfeSr8qK6o7XP", "linkedInUrl" : "https://www.linkedin.com/in/scott-sobel-a75b349/", "lastName" : "Sobel", "firstName" : "Scott", "locationString" : "Columbia, SC, USA", "currentRole" : "Actuarial Data Scientist", "domainFeatures" : [ "insurance" ], "technicalFeatures" : [ "analytics", "dataEngineering", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI am a well-rounded fully credentialed actuary with nearly 30 yrs experience in the insurance industry, including over 12 yrs focusing on machine learning. I have a masters' degree from Northwestern University in Predictive Analytics and am a Certified Specialist in Predictive Analytics. \n### What I expect from mentees\nI’m looking for mentees that are interested in entering, or have newly entered, the P&C industry as an actuary and/or insurance data scientist. I can help you understand and navigate the actuarial/data scientist career path in the insurance industry, which could include interviewing, what to expect in your first few years, and how to advance in your career. I am not skilled in Python, but I can help you build your analytical skills in R, even if you are a beginner. I am willing to commit 1-2 hrs per week to help you develop your skills, which could/should include an insurance data science project. I will provide advice on the nature of insurance data, education to develop your predictive analytics skills, code-review, and advice on how to present results. If you are skilled in Python but not R, I can still help you with the insurance analytics concepts and navigating your career, but just not code review.", "isFormerMentee" : false }, { "_id" : "6McuvGu9NdrPM8Dxb", "linkedInUrl" : "https://www.linkedin.com/in/sushil-pathak-200/", "lastName" : "Pathak", "firstName" : "Sushil", "locationString" : "Ammon, ID, USA", "domainFeatures" : [ "finance", "healthcare", "socialMedia" ], "technicalFeatures" : [ "visualization", "dataEngineering", "timeSeries" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "currentRole" : "IT SQL Developer/ Data Engineer", "readme" : "I'm an IT SQL Developer with experience in the wellness ,e-commerce, and insurance. I enjoy diving into datasets and looking for ways to improve things that others might have missed. \n\nOne of the projects I'm especially proud of was building a machine learning model to optimize an online ad campaign for an e-commerce company, that helped the company increase its online sales by nearly 25% in one quarter.\n\nI also worked at Farm Bureau Mutual (an insurance company in Idaho) where I delivered a number of reporting and visualization projects for stakeholders. I also did a lot of workflow optimization here, automating a key reporting workflow 30X and increasing the accuracy of the output by about 20% by fixing up the associated SQL queries.\n\nSoftware and Programming\n• Jupyter Notebook\n• Python Analysis (Numpy, Pandas)\n• Python Visualization (Matplotlib, Seaborn)\n• Python Machine Learning (SciKit-Learn)\n• Statistical analysis\n• Git\n\nDatabase\n• SQL \n\nTools \n• Tableau\n• Power BI\n• Hadoop\n• SQL Server Management Studio\n• Microsoft Report Builder\n• Bash\n\nWhy me\nOnce I was a mentee of a sharpest mind. I understand the process of getting hired as an international student during the pandemic and can help you crack the process. I can help you to thrive in every possible way.", "isFormerMentee" : true }, { "_id" : "uCnCTHR2LRZHQs5P2", "linkedInUrl" : "https://www.linkedin.com/in/andrew-klein-97a12114/", "lastName" : "Klein", "firstName" : "Andrew", "locationString" : "New York, NY, USA", "currentRole" : "Lead Data Scientist @ CLEAR", "domainFeatures" : [ "consulting", "insurance", "travel" ], "technicalFeatures" : [ "visualization", "dataScience", "analytics" ], "readme" : "### About me\nLead Data Scientist @ CLEAR, formerly @ Fulcrum Analytics (consulting). Data Visualization Professor @ Merrimack College", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : false }, { "_id" : "iSTYznNKPmGTedigX", "linkedInUrl" : "https://www.linkedin.com/in/kngoyal/", "lastName" : "Goyal", "firstName" : "Kamal", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "finance", "logistics", "healthcare" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "codeReview", "projects", "oneOnOneCalls" ], "technicalFeatures" : [ "productionization", "dataEngineering", "devops" ], "currentRole" : "Senior Machine Learning Engineer", "isFormerMentee" : false }, { "_id" : "cBbGMKbSQq5vPmM7B", "domainFeatures" : [ "software" ], "technicalFeatures" : [ "nlp", "dataScience", "recommenders", "dataEngineering", "deepLearning", "devops" ], "linkedInUrl" : "https://www.linkedin.com/in/fmailhot/", "lastName" : "Mailhot", "firstName" : "Fred", "locationString" : "Montreal, QC, Canada", "currentRole" : "Lead Data Scientist", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nLead Data Scientist @Autodesk; formerly @Ask; building search for Autodesk's help system; predicting trial user conversion to paid \n### What I can help with\nNLP and search, deep learning, ML devops, data engineering", "isFormerMentee" : false }, { "_id" : "nbe8v7qWgkiieJRfJ", "linkedInUrl" : "https://www.linkedin.com/in/vishal-chowdhary-1636a02/", "lastName" : "Chowdhary", "firstName" : "Vishal", "locationString" : "Redmond, WA, USA", "currentRole" : "Principal Development Manager @ Microsoft, Machine Translation", "domainFeatures" : [ "software", "research" ], "technicalFeatures" : [ "nlp", "dataScience", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI work at the Machine Translation team at Microsoft. I am interested in working with someone who wants to explore -- NLP, ML, Deep Learning. Those are the areas I am good at and will be best suited to help. I will teach end-to-end real-life, large scale ML model building.\n\n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and some basic ML. They should be willing to commit >10 hrs per week on a full-stack Data Science project(s). I expect this to take 3 - 6 months. We will go deep and broad in the area of NLP. We will start from basic and then build more complicated things. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.\n\n\n### Update August 2020\nhi, \nI am now almost successfully completed with my first mentee. It has been a fun experience. I have a full-time job and hence I had decided only to have one mentee this session until July 2020. Now that the period is completed, I have thought long and hard what to do next. Given the pandemic situation and with the kids home schooling, I am going to take a pause and not accept any mentees until January 2022. I appreciate your messages and I hope you understand. Hence, I wish to politely decline your request. All the best!\n>>", "isFormerMentee" : false }, { "_id" : "YPjo6iB6vyjFYzYst", "linkedInUrl" : "https://www.linkedin.com/in/ronboger/", "lastName" : "Boger", "firstName" : "Ron", "locationString" : "San Francisco, CA, USA", "currentRole" : "Tech Lead at GoogleX", "domainFeatures" : [ "healthcare", "saas", "software" ], "technicalFeatures" : [ "computerVision", "unsupervised", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nCurrent tech lead at Google X. formerly Machine Learning Scientist @System1 Biosciences; formerly @Kleiner Perkins; building a machine vision system to predict brain diseases from cultured tissue samples \n### What I can help with\nImage processing, medical applications, computer vision, bioinformatics", "isFormerMentee" : false }, { "_id" : "CSZMqCD5foySYr74E", "domainFeatures" : [ "software", "semiconductor" ], "technicalFeatures" : [ "computerVision", "recommenders", "dataEngineering", "deepLearning", "devops", "productionization" ], "linkedInUrl" : "https://www.linkedin.com/in/domarps/", "lastName" : "Srinivasan", "firstName" : "Pramod", "locationString" : "San Francisco, CA, USA", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nMachine Learning Engineer @Adobe; formerly @Microsoft, @Intel, @NVIDIA; building image search technology for Adobe products \n### What I can help with\nComputer vision, GPU programming, ML devops, data pipelines, image embeddings and search", "isFormerMentee" : false }, { "_id" : "KNhe8TXRKaA6zXmfG", "linkedInUrl" : "https://www.linkedin.com/in/rkingery/", "lastName" : "Kingery", "firstName" : "Ryan", "locationString" : "Palo Alto, CA, USA", "currentRole" : "Sabbatical", "gitHubUrl" : "https://github.com/rkingery", "domainFeatures" : [ "healthcare", "legal", "virtualReality" ], "technicalFeatures" : [ "nlp", "deepLearning", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "## About Me\nCurrently on sabbatical to work on problems of interest in computational and theoretical physics. \n\nFormerly:\n- Computer Vision Research Engineer at Magic Leap: Worked on object detection and scene understanding for augmented reality applications.\n- Applied Scientist at Lawrence Berkeley Lab: Worked on applications of ML to health data, particularly NLP applications to clinical text data and suicide risk prediction.\n- NLP Engineer at Akorda: Worked on NLP applications to the legal field, particularly understanding and processing legal contracts.\n\nPrior to working full time I got masters degrees in applied math and physics, and was briefly pursuing a PhD in computer engineering, with a focus on data science applications to computer security. My undergrad degree and perhaps greatest domain of passion is in physics. Before that I did several years in the US Army, including serving as an infantryman and combat advisor in Afghanistan.\n\nMy general expertise is in data science, machine learning, and its applications, including NLP, time series analysis, computer vision, and tabular data. I also have significant interests in scientific computing, physics, applied math, financial markets, aviation, and military applications.\n\nI have a good bit of general experience with lots of kinds of data science applications, including: \n- NLP (text classification, language models and embeddings, document clustering, topic modeling)\n- Computer Vision (image classification, object detection, video, scene understanding)\n- Time series (discrete and continuous signals, ARIMA models)\n- Structured data (high and low dimensional categorical data, regression)\n- Security (anomaly detection, privacy, adversarial ML)\n- Statistics (classical statistical modeling, hypothesis testing, Bayesian statistics)\n- Scientific Computing (climate modeling, data analysis, numerical equation solvers, simulations)\n\nLinks:\n- LinkedIn: [www.linkedin.com/in/rkingery](https://www.linkedin.com/in/rkingery/)\n- GitHub: [https://github.com/rkingery](https://github.com/rkingery)\n\n## Mentorship Details\n\nFor those considering me as a mentor, a few notes. \n- I only take on one mentee every cycle (about every 4-8 months or so), only taking on a new mentee when the previous mentee has gotten hired. I invest a heavy amount of personal time into each mentorship (usually 6+ hours a week per mentee) on top of my other obligations. As such, I'm very picky about who I take on as a mentee. I need to believe that you *really* want to be a data scientist, because it's getting very difficult to break into the field, and so you have to want it pretty bad to persevere enough to get that first job offer.\n- I expect my mentees to have strong internal motivation and work ethic, and decent odds of actually getting a data science job in the US or Canada. Assume a commitment of 20+ hours a week for 3-4 months. Note that I have a reputation for high standards and expecting a lot out of my mentees.\n- I only take on mentees who won't require visa sponsorship immediately upon hire, i.e. those who already hold either a long term visa (including OPT or H1B) or citizenship in one of these two countries. \n- I generally expect that mentees I take on already have some coding experience, ideally in python, and ideally with some code already on github or somewhere else public. You should know at least enough to be able to write simple functions in python or a similar language.\n\nFor more mentorship details, see my own mentorship [github page](https://github.com/rkingery/sm-mentorship).\n\nIf you feel we may be a potential match, feel free to send me a message with info about your background and interests, along with some times that you can meet and your email address.", "isFormerMentee" : false }, { "_id" : "bjCLFbbYyMJmkLmkc", "mentorshipOfferings" : [ "mockInterviews", "projects", "networking", "oneOnOneCalls" ], "domainFeatures" : [ "software", "healthcare", "digitalMarketing" ], "technicalFeatures" : [ "dataScience", "analytics", "recommenders" ], "lastName" : "Holcomb", "firstName" : "Susan", "locationString" : "Los Angeles, CA, USA", "currentRole" : "Independent Data Science Consultant", "linkedInUrl" : "https://www.linkedin.com/in/h0lc0mb/", "readme" : "### About me\nAs Head of Data @Pebble, I built the data science team from the ground up and ran the Health Products development team. Now I work as an advisor & consultant. I spent 2018 in Australia working with the Queensland government on economic development projects. I came to data science from the Physics PhD program @Cornell. \n### What I expect from mentees\nI'm looking for mentees who are interested in applying data science to solve business problems and/or who want to build a data-driven product from end to end. I will provide regular one-on-one meetings and can probably help the most if you're interested in building your skills in model development, data collection / cleaning, or completing a project that will help you stand out in an interview setting. I work best with mentees who are results-driven and motivated to solve their chosen problem. I am open to working with mentees of all backgrounds.", "isFormerMentee" : false }, { "_id" : "yzcd8NPCZQkJmvZHw", "linkedInUrl" : "https://www.linkedin.com/in/rezafazeli/", "lastName" : "Fazeli", "firstName" : "Reza", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Engineer @IBM", "domainFeatures" : [ "software", "research" ], "technicalFeatures" : [ "nlp", "computerVision", "productionization" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "gitHubUrl" : "https://github.com/rezasjourney", "readme" : "### About me\nMachine Learning Engineer [@IBM Watson](https://www.ibm.com/watson). Ex ML Engineer [@SoundHound Inc](https://www.soundhound.com/). \n\nMainly focused on natural language processing, machine learning, and deep learning problems, and worked on computer vision and recommender system problems in the past. \n\nFormer instructor [@UofT School of Continuing Studies](https://bootcamp.learn.utoronto.ca/data/online/landing/) and [@Juno College](https://junocollege.com/course/data-foundations).\n\n### What I expect from mentees\nI'm happy to support mentees that have some level of experience with classical machine learning or deep learning and are comfortable with at least one of many ML/DL Python packages such as scikit-learn, TensorFlow, or Pytorch. I'm looking for mentees who can make a substantial weekly time commitment (10 hr/week at the very least; ideally +20 hr/week). A background in math (calculus and linear algebra), statistics, and probability as well as software development experience would be a huge plus but not required. \n\nI will provide code reviews and technical guidance (through asynchronous conversations and one-on-one calls) to work through data science projects with you. I will also conduct mock interviews and live coding practice sessions as well as help with resume preparation and support for networking and job search. \n\n### What's next?\nIf you think you are a good fit for a potential mentorship, make sure you:\n\n1. Send me a message here describing your background and career goals. Alternatively, you can email me at {myfirstname} {mylastname} \\[at\\] gmail .com\n2. Send your resume/CV (if you have not uploaded it on your profile)\n3. Book a time for a 30-minute interview here: [https://calendly.com/rezafazeli/meeting](https://calendly.com/rezafazeli/meeting)\n\nFeel free to connect on [LinkedIn](https://www.linkedin.com/in/rezafazeli/) and [Twitter](https://twitter.com/refazeli).", "websiteUrl" : "http://aiweekly.github.io/", "isFormerMentee" : false }, { "_id" : "nDjLFLgx5DhL4sebm", "linkedInUrl" : "https://www.linkedin.com/in/n_a", "lastName" : "Arbab", "firstName" : "Fatemeh", "locationString" : "Atlanta, GA, USA", "currentRole" : "N\\A", "domainFeatures" : [ ], "technicalFeatures" : [ ], "mentorshipOfferings" : [ ], "isFormerMentee" : false }, { "_id" : "QtPbZ3RpD5NKxWjbP", "domainFeatures" : [ "finance", "consulting", "saas" ], "technicalFeatures" : [ "deepLearning", "timeSeries", "nlp" ], "linkedInUrl" : "https://www.linkedin.com/in/edwardplata/", "lastName" : "Plata", "firstName" : "Edward", "locationString" : "New York, NY, USA", "gitHubUrl" : "https://github.com/edwardplata", "currentRole" : "Data Engineer", "isFormerMentee" : true }, { "_id" : "Sq4CMDNcucJCMDkSB", "mentorshipOfferings" : [ "projects", "oneOnOneCalls", "networking", "codeReview", "mockInterviews" ], "domainFeatures" : [ "finance", "research" ], "technicalFeatures" : [ "dataScience", "computerVision", "productionization" ], "lastName" : "Etheredge", "firstName" : "Jack", "currentRole" : "Senior Machine Learning Engineer @ American Express", "linkedInUrl" : "https://www.linkedin.com/in/jack-etheredge-phd/", "gitHubUrl" : "https://github.com/jack-etheredge", "locationString" : "New York, NY, USA", "readme" : "### About me\nSenior Machine Learning Engineer @ American Express; formerly researcher @ HHMI; Cambridge Neuroscience PhD; Biology -> DS \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit > 10 hrs per week on a full-stack Data Science project. I can help most with guidance on projects and preparing for interviews. I'm open to being a mentor for someone with any number of backgrounds so long as there is an interest and drive to understand statistics and the mathematics of machine learning to prepare sufficiently for interviews. \n### What I can help with\nPython for ML: pandas, numpy, sklearn, keras, dash/flask\nCreating a web app for your project: AWS EC2, docker, dash/flask", "isFormerMentee" : false }, { "_id" : "TyF9oBs73w6GHu38Y", "domainFeatures" : [ "finance", "digitalMarketing", "robotics" ], "technicalFeatures" : [ "timeSeries", "dataEngineering", "deepLearning", "devops", "tabular" ], "linkedInUrl" : "https://www.linkedin.com/in/amolmane1/", "lastName" : "Mane", "firstName" : "Amol", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Engineer", "gitHubUrl" : "https://github.com/amolmane1", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nML Engineer @Canvass Analytics; building ML models to improve industrial processes for Fortune 50 companies \n### What I can help with\nML devops, Azure, data engineering, time series, ML platforms, Keras, GANs, SK-Learn", "isFormerMentee" : false }, { "_id" : "oWazfGetGYv2tGzDu", "linkedInUrl" : "https://www.linkedin.com/in/aashirwad/", "lastName" : "Anand", "firstName" : "Aashirwad", "locationString" : "San Francisco, CA, USA", "domainFeatures" : [ "socialMedia", "retail", "travel" ], "technicalFeatures" : [ "analytics", "visualization", "dataEngineering" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "codeReview" ], "readme" : "### About me\nCurrently Data Scientist @ Linked[in]. Previously @ Lime. Instructor at UC Berkeley Extension Data Analytics & Visualization Bootcamp. \n### What I expect from mentees\nI'm looking for mentees that are at an intermediate level of competency in python, R, SQL or Javascript, and are ready to dedicate 3-6 months toward cracking the industry interview process. I will provide mock-interviews (including live coding interviews), resume prep guidance, interviewing strategy and industry context. I expect a willingness open-mindedly and objectively ask what the industry needs and then identify your skill gaps in tools, coding, analysis, modeling, and experimentation. I also expect a commitment of at least 10 hours a week towards bridging those skill gaps in a structured manner. \n\nI'm open to working with mentees of all backgrounds, especially those who are transitioning into Data Science from non-technical backgrounds. \n### What I can help with\nI teach python, SQL, R and javascript to non-programmers. I work with Scala, Spark and Hadoop at my day job. I have experience with Google Cloud Platform and keras from side-projects. I can also help with interactive data visualization, geospatial and mapping.", "isFormerMentee" : false }, { "_id" : "LkjGN9BeqpR9HwDok", "linkedInUrl" : "https://www.linkedin.com/in/jeromecarless/", "lastName" : "Carless", "firstName" : "Jerome", "locationString" : "New York, NY, USA", "currentRole" : "Data Engineer @NYT", "domainFeatures" : [ "finance", "realEstate", "eCommerce" ], "technicalFeatures" : [ "dataEngineering", "analytics", "anomalyDetection" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects", "mockInterviews" ], "readme" : "### About me\nData Engineer @NYT. Analytics @NYU Alum. Specializing in ETL pipelines and ML model production deployment. \n### What I expect from mentees\nIm interested in working with mentees who are familiar with python, SQL, and at least one of the following -> AWS, GCP, Airflow, Spark. Must be willing to commit 10+ hours per week to an end to end data science/data engineering project. I will provide live code review and one on one calls. The best fit would be someone looking for a data engineering or machine learning engineer position.", "gitHubUrl" : "https://github.com/jcarless", "isFormerMentee" : false }, { "_id" : "cwjBMABLviYc6WG7X", "linkedInUrl" : "https://www.linkedin.com/in/ michael-r-lomnitz", "lastName" : "Lomnitz", "firstName" : "Michael", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist @ InQTel", "domainFeatures" : [ "research" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "dataScience", "deepLearning", "computerVision" ], "readme" : "### About me\nData scientist working on computer vision, generative models, GANs and audio data. Previously a Nuclear Scientist working analyzing data from a particle accelerator. \n### What I expect from mentees\nI am looking for students who are willing to work predominantly in python with some experience in data analysis. I am interested in working with students who are willing to commit half-time or more to a data science problem. Given that my expertise i mostly in deep learning, I would prefer to work with students interested in computer vision, audio processing or natural language processing. I will provide code review, one on one calls meetings and interview prep.", "isFormerMentee" : false }, { "_id" : "Pxb8oZ5g2puNTN8cH", "linkedInUrl" : "https://www.linkedin.com/in/elnaz-bigdeli-b68283a0/", "lastName" : "Bigdeli", "firstName" : "Elnaz", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "finance" ], "technicalFeatures" : [ "timeSeries", "dataEngineering", "devops", "nlp" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nLead Data Scientist @OANDA; formerly @KPMG, @Deloitte, @Morgan Stanley; built knowledge graphs to process natural language queries \n### What I can help with\nNLP, data engineering, knowledge graphs, text summarization, GCP", "isFormerMentee" : false }, { "_id" : "SLxmMTMAv8eSigxCg", "domainFeatures" : [ "healthcare", "finance", "retail" ], "technicalFeatures" : [ "nlp", "dataScience", "tabular", "productionization", "dataEngineering" ], "linkedInUrl" : "https://www.linkedin.com/in/spsaaibi/", "lastName" : "Saaibi", "firstName" : "Sebastian", "locationString" : "New York, NY, USA", "currentRole" : "Director of Data Science", "gitHubUrl" : "https://github.com/spsaaibi", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nDirector of data science @Phreesia; formerly ML & Data Science Lead @Pager; Product-focused data scientist; NLP specialist; end-to-end pipeline development \n### What I can help with\nNLP; modelling; production systems; full data engineering pipelines & data servers", "isFormerMentee" : false }, { "_id" : "irF77d2y6dts5u6Tq", "domainFeatures" : [ "research", "retail" ], "technicalFeatures" : [ "nlp", "dataScience", "recommenders", "unsupervised", "dataEngineering", "deepLearning" ], "linkedInUrl" : "https://www.linkedin.com/in/felipe-perez-/", "lastName" : "Perez", "firstName" : "Felipe", "locationString" : "Toronto, ON, Canada", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist @Zero Gravity Labs; developing and implementing state-of-the-art deep learning algorithms. \n### What I can help with\nNLP, deep learning, big data applications, Spark, forecasting, pricing predictions, data engineering, Databricks.", "isFormerMentee" : false }, { "_id" : "2iAkQRLimfdbX4qhx", "linkedInUrl" : "https://www.linkedin.com/in/kshitij-jain/", "lastName" : "Jain", "firstName" : "Kshitij", "locationString" : "Kitchener, ON, Canada", "currentRole" : "Machine Learning Researcher @ Borealis AI", "domainFeatures" : [ "finance", "research", "software" ], "technicalFeatures" : [ "nlp", "deepLearning", "timeSeries" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nMachine Learning Researcher @ Borealis AI, previously software developer intern at Google, ex-software developer @ Directi. Masters in Computer Science from the University of Waterloo. \n### What I can help with\nI can help mentees to develop their overall Machine Learning skills. This includes working on a research project which can potentially lead to a paper, or working on a Kaggle problem, or in general preparing for Data Science interviews. In general, I can focus on developing skills which require knowledge of algorithms, probability, stats, maths, machine learning, and programming.", "isFormerMentee" : false }, { "_id" : "L4XBAoHirw3DqR9oE", "linkedInUrl" : "https://www.linkedin.com/in/ilyagoldin/", "lastName" : "Goldin", "firstName" : "Ilya", "locationString" : "Pittsburgh, PA, USA", "domainFeatures" : [ "edtech", "humanResources", "research" ], "technicalFeatures" : [ "dataScience", "nlp", "visualization" ], "mentorshipOfferings" : [ "projects", "oneOnOneCalls" ], "websiteUrl" : "http://ilyagoldin.com", "currentRole" : "Principal Data Scientist, Phenom People; Consulting Data Scientist, Fair Facet", "readme" : "# What I Offer\nI offer guidance in data science big picture strategy, analysis and modeling tactics. I will help you derive business value from messy and complex data sets. I will also help you learn how to communicate your project results so that you can convince people with your work. Finally, I will help you with job search tactics, from interview prep to negotiation.\n\nIf you would like extensive code review, please consider other mentors. \n\n# What I Expect From Mentees\nYou know some programming, some ML and stats, and you want to apply your skills. You are focused on a specific field rather than data science methods for their own sake. You have a PhD or a technical Masters degree or 4+ years of work experience.\n\nI'm especially interested in helping mentees with PhDs or other graduate degrees who are transitioning from academia to industry.\n\n# How to Reach Out\nIn your message, please answer:\n1. What is the one most important thing you want in a mentorship?\n2. What is a significant research project that you've done? What data analysis skills did the project require?", "isFormerMentee" : false }, { "_id" : "xCYdBawWHtWjs8cuP", "linkedInUrl" : "https://www.linkedin.com/in/asrajab/", "lastName" : "Rajab", "firstName" : "Ahmad", "locationString" : "Toronto, ON, Canada", "currentRole" : "Staff Engineer Machine Learning", "domainFeatures" : [ "healthcare", "telecom", "research" ], "technicalFeatures" : [ "dataScience", "analytics", "productionization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "mockInterviews", "codeReview" ], "readme" : "### About me\nCurrently a Staff Engineer at Tenstorrent, helping design the next generation of AI chips.\n\nFormer Senior Machine Learning Eng / Data Scientist @ Bell Canada\nFormerly graduate researcher in neuroimaging and MRI @ U Toronto\nProfessional Interest: Full Stack Data science, ML, Python\nPersonal Interests: Guitar, drums, reading, yoga, data for good \n### What I expect from mentees\nI’m open to mentees with a basic to intermediate level of experience with programming, looking to get a serious start to the field of data science. I will provide guidance on how to frame, project manage and work through a data science project, as well as how to communicate results. I have experience in feature engineering, developing production grade models, model evaluation and business case presentations. I’ve also developed data science and devops curricula for my team and can recommend resources to further your technical skills. \n### What I can help with\nPython 3, Pandas, Numpy, Keras\nTableau\nBash/Shell Scripting\nProject planning\nData exploration\nModel development\nFeature engineering", "isFormerMentee" : false }, { "_id" : "geXGb5oNCWWHrAuja", "linkedInUrl" : "https://www.linkedin.com/in/michaeltodisco", "lastName" : "Todisco", "firstName" : "Michael", "locationString" : "New York, NY, USA", "currentRole" : "Lead Data Scientist at FanDuel", "domainFeatures" : [ "software", "digitalMarketing", "eCommerce" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "tabular" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects", "mockInterviews" ], "readme" : "### About me\nI am a Lead Data Scientist at FanDuel and have over 10 years of experience impacting organizational performance and decision making in the digital space through skillful data engineering, modeling, and analysis. \n### What I expect from mentees\nI'm looking for highly motivated mentees that are in the early to mid stages of developing their coding and data science skills. Ideally these people are looking for a smaller, start-up type company within the tech industry for their first role in data science. But either way, they should be eager to learn and gain experience. I can be most helpful in providing code-review, regular one-on-one meetings, and project guidance. I'll also be very willing to share my own work experiences and providing recommendations to help mentees build the skills that companies are looking for.", "isFormerMentee" : false }, { "_id" : "H9ENy9SxJYPGPFXet", "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "domainFeatures" : [ "research", "consulting", "eCommerce" ], "technicalFeatures" : [ "dataScience", "productionization", "webDevelopment" ], "lastName" : "C", "firstName" : "Eric", "locationString" : "Montreal, QC, Canada", "currentRole" : "Applied Data Scientist / Applied Physicist", "linkedInUrl" : "https://www.linkedin.com/in/eric-chou-10991527/", "websiteUrl" : "http://www.deuyeh.com", "readme" : "### About me\nCurrently working as Chief Research Engineer for an eCommerce company leading a team of data scientists. Past positions include team leader of data, vice-president and head of research & development, research associate, and professional consultant.\n\nI was a university lecturer for 6 consecutive years and was a reserve army officer for 3 years. \n### What I expect from mentees\nYou should have good ethical & work standard and be reliable. You are willing to listen and provide/accept constructive criticisms. \n### What I can help with\nSeeing is believing. I'm offering a fixed package service where we go on creating a DS/ML project and bring it into production. e.g. https://oct.eigenvolution.com/\n\nYou will learn how to carry out an exciting DS/ML project from A to Z. How to bring your model into production by setting up an instance on AWS and hosting your project on the web.", "isFormerMentee" : false }, { "_id" : "TSd26wZnS6FG9njK2", "firstName" : "Kaveh", "lastName" : "Hassani", "linkedInUrl" : "https://www.linkedin.com/in/kavehhassani", "locationString" : "Toronto, ON, Canada", "currentRole" : "AI Research Scientist @Meta & Machine Learning Lecturer @University of Toronto", "domainFeatures" : [ "research", "healthcare", "software" ], "technicalFeatures" : [ "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nAI Research Scientist @Meta & Machine Learning Lecturer @ University of Toronto; \ninterested in self-supervised learning, graph neural networks, and knowledge graphs; \n### What I can help with\nMachine learning, Deep learning, Natural Language Processing, Machine vision", "gitHubUrl" : "https://github.com/kavehhassani", "isFormerMentee" : false }, { "_id" : "7EdjjNTfe3Bx7TeBD", "linkedInUrl" : "https://www.linkedin.com/in/aleruperti/", "lastName" : "Ruperti", "firstName" : "Alejandro", "locationString" : "Miami, FL, USA", "domainFeatures" : [ "edtech" ], "technicalFeatures" : [ "nlp", "recommenders", "webDevelopment" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "readme" : "I help run SharpestMinds. Please reach out to me if you need anything!", "currentRole" : "President @ SharpestMinds", "isFormerMentee" : false }, { "_id" : "sBDfYgYgkTZsuqFXr", "linkedInUrl" : "https://www.linkedin.com/in/omarabid4/", "lastName" : "Abid", "firstName" : "Omar", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Engineer", "domainFeatures" : [ "consulting", "research", "security" ], "mentorshipOfferings" : [ "oneOnOneCalls", "codeReview", "projects" ], "technicalFeatures" : [ "deepLearning", "computerVision", "productionization" ], "gitHubUrl" : "https://github.com/omarabid59", "readme" : "### About me\nI work as a Machine Learning Engineer at Quantiphi - and because of the nature of the company, I've gotten a chance to work with a number of large companies within North America.\n\nMy focus right now is in Computer Vision and Deep Learning, but have experience and interest with classical Machine Learning as well. \n### What I can help with\nSoftware Engineering / Programming in a variety of languages (C++, Java, Python), Cloud Solutions (GCP, AWS), Computer Vision (Object Detection, Object Tracking, Image Segmentation).", "isFormerMentee" : false }, { "_id" : "ehSsCoMxcroJvHiNF", "linkedInUrl" : "https://www.linkedin.com/in/kelly-dietz-879aab27/", "lastName" : "Dietz", "firstName" : "Kelly", "locationString" : "New York, NY, USA", "currentRole" : "Director, Performance Policy @ NYC Department of Education", "domainFeatures" : [ "research", "government" ], "technicalFeatures" : [ "analytics", "visualization", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nDirector of an analytical team @ NYC DOE focused on measuring school performance, recommending policy, and building tools to help schools understand their data \n### What I expect from mentees\nI'm looking for mentees comfortable with Python and/or looking to learn or deepen work with R and most interested in improving their skills for translating their work to non-technical audiences. I can provide code and end-product/output review, regular one-on-one meetings to work through challenges and focus strengths, mock interviews to help blow interviewers away with both hard and soft skills, and networking support mostly within an applied 'data for good' research and analytics world. I am open to working with someone working through a project and can help you refine it, though I'm more inclined to find a mentee with an idea already rather than starting from scratch unless the interest is public policy focused.", "isFormerMentee" : false }, { "_id" : "Kgw28qPwwdgDHmgGH", "domainFeatures" : [ "research", "digitalMarketing", "software" ], "technicalFeatures" : [ "deepLearning", "productionization", "computerVision" ], "linkedInUrl" : "https://www.linkedin.com/in/mrjoepapa/", "lastName" : "Papa", "firstName" : "Joe", "locationString" : "Red Bank, NJ, USA", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "currentRole" : "Chief AI Engineer @Mobile Insights (former AI Team Lead @ Booz Allen & Perspecta Labs)", "websiteUrl" : "http://joepapa.ai", "readme" : "** ONLY ACCEPTING U.S. MENTEES **\n\n**You MUST currently live and be authorized to work in the US**\n\n### About me\nChief AI Engineer @Mobile Insights, former AI Team Lead @Booz Allen, Perspecta Labs\n- 10+ Years Experience as Hiring Manager & Career Manager\n- 8+ Years Technical Experience in Machine Learning\n- Sharpest Minds Mentor (2 Years)\n- 6000+ Students on Udemy, \n- O'Reilly Author\n- Published Packt Instructor, Master Trainer @INSPIRD.AI\n- Specializing in Machine Learning, Deep Learning, and Artificial Intelligence\n\nExperienced with:\n- Computer Vision, NLP, Audio, & Signal Processing Data & Applications\n- Edge Deployment on NVidia GPU, ARM, FPGA Hardware\n- Cloud Deployment on GCP & AWS\n- Industry experience in Government/DoD, Telecomm, Retail, Marketing, Tech\n\n### We're probably a good match if …\n- You’re looking for a Data Science/Machine Learning, Research Scientist, or SWE position.\n- You’d like to build stuff and produce results. (e.g. paper + code, open source contributions, software tools, docker containers, web apps, reports/presentations etc.)\n- You want to meet other professional data scientists & AI engineers\n- You want a structured program from an experienced mentor and technical lead\n- You want to work with Python, Scikit-learn, Keras/Tensorflow/PyTorch\n- Any age. Any level. I’ve helped mentees ages 19 - 65 including those with PhD, MS, BS, and no degree at all.\n\n### You're probably better off with another mentor if ….\n- You're seeking an internship\n- You want to focus in the following areas: Data Analytics, R, SQL, Tableau, Reinforcement Learning, or Data Engineering\n\n### What I help with\n- Technical Supervision, Code Reviews, Pair Programming\n- Project Selection, Skills Assessment, Skill Development, Data Science Best Practices\n- Resume Review, Job Search Strategy, Interview Prep, Salary Negotiations\n- Making Connections, Job References, Goal Setting, Building Confidence\n- Technical Training on Computer Vision, NLP, Audio data, Deep learning, ResNets, CNNs, GANs, Synthetic data generation, Python, (Numpy, Scikit-learn, Pandas), Keras, Tensorflow, PyTorch, GPU, ARM, FPGA, Web/Mobile, Docker, CI/CD\n\n### Apply Now or Talk to Joe\nTo get started, send me a message and let me know what you're looking for in a mentorship.", "isFormerMentee" : false }, { "_id" : "pibCLvY7uCtCgwqGa", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking" ], "domainFeatures" : [ "healthcare", "software", "research" ], "technicalFeatures" : [ "deepLearning", "computerVision", "productionization" ], "lastName" : "Beukema", "firstName" : "Patrick", "locationString" : "Seattle, WA, USA", "currentRole" : "Lead Machine Learning Engineer", "linkedInUrl" : "https://www.linkedin.com/in/patrickbeukema/", "websiteUrl" : "http://pbeukema.github.io", "readme" : "### About me\nI started my career in academia, first earning an MS in logic followed by a Ph.D. in computational neuroscience (Carnegie Mellon & University of Pittsburgh). In academia, I focused on applied machine learning for decoding neural data. After academia, I spent a few years building neural decoders and streaming computer vision services at a startup called MindX that was acquired by one of the leading neurotechnology companies. In 2019 I moved to Seattle to build DocuSign's AI platform from scratch in addition to novel deep learning models for document intelligence. The infrastructure I built serves millions of users. I regularly interview ML/DS/AI candidates and know exactly what it takes to get an offer. I am currently leading a team of 6 applied scientists on a variety of NLP and CV customer-facing product features. \n\n### What I expect from mentees\n- Open mind\n- Serious interest and experience one or both of\n 1) building NLP models for legal artificial intelligence/Document AI or \n 2) cloud-based deployment of AI models\n\n### What I can help with\n- Nailing the technical interview\n- Negotiating the best offer", "isFormerMentee" : false }, { "_id" : "MTjuciiMoSMKS7NBz", "linkedInUrl" : "https://www.linkedin.com/in/carlo-lisi-08150a/?originalsubdomain=ca", "lastName" : "Lisi", "firstName" : "Carlo", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Manager , Business Insights and Analytics", "domainFeatures" : [ "finance", "research" ], "mentorshipOfferings" : [ "networking", "mockInterviews", "oneOnOneCalls" ], "technicalFeatures" : [ "analytics", "dataScience", "computerVision" ], "isFormerMentee" : false }, { "_id" : "mf4EvxaKQXwS7Eypf", "linkedInUrl" : "http://linkedin.com/in/ryanglambert", "lastName" : "Lambert", "firstName" : "Ryan", "locationString" : "New York, NY, USA", "currentRole" : "Data Scientist", "domainFeatures" : [ "finance", "software", "manufacturing" ], "mentorshipOfferings" : [ "projects", "codeReview", "oneOnOneCalls", "networking" ], "technicalFeatures" : [ "nlp", "timeSeries", "productionization" ], "gitHubUrl" : "https://github.com/ryanglambert", "websiteUrl" : "http://www.ryanglambert.com", "readme" : "### About me\nData Scientist / Machine Learning Engineer at American Express in the GCS AI Center of Excellence. I work on a variety of machine learning problems. \n\nI've made it to Princeton's benchmark for 3d Information Retrieval using 3D Capsule Networks.\nhttps://vision.princeton.edu/projects/2014/ModelNet/ \n### What I expect from mentees\n- Use Jupyter numpy, scipy, etc. for exploration and modeling\n- Have at least tried some tutorials for ML with something like keras or sklearn. \n\nCurrently commited to:\n\n- Phone time (~1hr)\n- 2 hours of project review/advice as well as code review\n- answering questions via slack \n### What I can help with\nI'm a generalist that has spent most of my time on nlp and time series problems. \n\nBefore getting into ML, I spent 10 years in R&D working on the likes of the K-Cup, Atomic clocks, 3d printers, and lithium fuel cells, eventually leading to a shift into the tech industry then more specifically into data science.\n\nI err on the side of being practical and solution/product oriented.", "isFormerMentee" : false }, { "_id" : "szP4gdjr8kzdn4QEJ", "linkedInUrl" : "https://www.linkedin.com/in/nathan-waters-79692652/", "lastName" : "Waters", "firstName" : "Nathan", "locationString" : "San Francisco, CA, USA", "currentRole" : "Computer Vision and Deep Learning Engineer @8thWall. Formerly @Pixar", "domainFeatures" : [ "media", "virtualReality", "productivity" ], "mentorshipOfferings" : [ "codeReview", "projects", "oneOnOneCalls", "mockInterviews" ], "technicalFeatures" : [ "computerVision", "reinforcementLearning", "deepLearning" ], "gitHubUrl" : "https://github.com/nathanbwaters/", "readme" : "### About me\nDeep learning and full-stack engineer focused on computer vision, graphics, and reinforcement learning. Formerly @Pixar and now @8thWall.\n \n### What I expect from mentees\nI'm looking for mentees that are interested in working on a challenging deep learning, computer vision, or reinforcement learning projects. I will provide code-reviews, suggest architectures, and guide their learning.\n\nI'm not interested in mentees seeking general data science roles.", "isFormerMentee" : false }, { "_id" : "ccoQPe2yNXxvywanP", "linkedInUrl" : "https://www.linkedin.com/in/akshayksingh/", "lastName" : "Singh", "firstName" : "Akshay", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "edtech", "eCommerce", "healthcare" ], "technicalFeatures" : [ "dataEngineering", "devops", "webDevelopment" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "currentRole" : "Engineering @ Amazon", "readme" : "### About me\nEngineering lead at Amazon; formerly Head of Data at League, data platform manager at Chan-Zuckerberg Initiative, Yahoo\n### What I can help with\nSoftware Engineering, Web Development, Big data systems, data pipelines, spark/hadoop ecosystem, Knowledge graphs", "isFormerMentee" : false }, { "_id" : "Dd9PQZMWpEPrhtnQ7", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "domainFeatures" : [ "robotics", "research", "edtech", "consulting" ], "technicalFeatures" : [ "nlp", "computerVision", "recommenders", "dataScience", "dataEngineering", "deepLearning" ], "linkedInUrl" : "https://www.linkedin.com/in/akuzubasli/", "lastName" : "Kuzubaşlı", "firstName" : "Ahmet", "locationString" : "San Francisco, CA, USA", "readme" : "### About me\nSenior Data Scientist @Udemy; building query-based recommender systems for Udemy's course discovery platform \n### What I can help with\nA/B testing, recommender systems, image search, query parsing, Spark, PyTorch", "isFormerMentee" : false }, { "_id" : "zicYbpnkGHfREGQMj", "linkedInUrl" : "https://www.linkedin.com/in/prateekj/", "lastName" : "Jain", "firstName" : "Prateek", "locationString" : "San Jose, CA, USA", "currentRole" : "Principal Data Scientist, LivePerson", "domainFeatures" : [ "research", "finance", "saas" ], "technicalFeatures" : [ "nlp", "dataScience", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "### About me\n- If you reach out to me for mentorship, please explain to me why you think I can help you. Please put in the effort beyond copy pasting\n- At this point of time I am looking for candidates who are looking for jobs in 3 months or less. \n- To test your ML and Python skills, I will probably do a mock interview.\n\nIf you are okay with the conditions above, please feel free to reach out to me!\n\nPhD in Computer Science with focus on NLP and Information Extraction. 8+ years experience in \ndeploying machine learning models into production. Experienced with mentoring incoming Data Scientists, conducting interviews and CV screening. Over 30+ papers and patents in NLP/Machine learning. \n### What I expect from mentees\nI'm looking for mentees that are comfortable with Python and machine learning algorithms. I will provide one-one meetings, understand their level of comfort with Machine Learning/Natural Language Processing and work with them to build their skills and prepare for interviews. I am happy to put candidates in touch with recruiters and hiring managers. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well. \n### What I can help with\nNatural Language Processing, Python, Pandas, Machine Learning, Interview Prep, Deep Learning", "websiteUrl" : "https://prateekjain.name/index.html", "isFormerMentee" : false }, { "_id" : "gF4ZThtek4KRvZ6ff", "linkedInUrl" : "https://www.linkedin.com/in/mikhail-sidyakov/", "lastName" : "Sidyakov", "firstName" : "Mikhail (Misha)", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist @ Fractal Analytics", "domainFeatures" : [ "eCommerce", "retail", "edtech" ], "technicalFeatures" : [ "dataScience", "analytics", "timeSeries" ], "mentorshipOfferings" : [ "projects", "codeReview", "mockInterviews", "oneOnOneCalls", "networking", "resumeAndLinkedInReview" ], "websiteUrl" : "https://www.pyshark.com/", "readme" : "### About me\nSenior Data Scientist @Fractal, formerly @Sobeys, @Loblaw and @OneClass.\nMy strengths are in product and customer analysis, sales forecasting, and product classification. \n### What I expect from mentees\nI'm looking for mentees that are interested in working an interesting project to showcase it as a portfolio to prospective employers, as well as mentees who would like to increase their programming skills. I prefer mentees who have a mix of some Python coding experience and general statistics knowledge. I will help you brainstorm ideas for a project and how to get started, provide code review, and help polish the final version of your work. During our one-on-ones I will help you identify your data science strengths and how to present yourself during interviews. I'm open to working with mentees from any academic background.", "gitHubUrl" : "https://github.com/misha-pyshark/", "isFormerMentee" : false }, { "_id" : "NcMtA2GjFadfs8KC5", "linkedInUrl" : "https://linkedin.com/in/angshumanghosh", "lastName" : "Ghosh", "firstName" : "Angshuman", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "research", "software", "retail" ], "technicalFeatures" : [ "recommenders", "nlp" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls" ], "currentRole" : "Machine Learning Research Engineer at Facebook", "readme" : "Currently working at Facebook Ads Core ML Modelling Architecture team on applied research projects for Facebook ad models that generate 95% of all FB revenue. \n\nPrior to Facebook, I built out Loblaw's search and personalization platform from scratch, building both infra and ML models to serve personalized search results and recommendations for pc express, canada's largest online grocery offering. Supported surfaces resulted in >60% of all add-to-carts/conversions for pc-express, and generated multi-million dollars in revenue per day. \n\nProspective mentees should be from a stem background and have good knowledge of coding and understand the basics of ML methods. I can provide support in project review, do some mock interviews and help identify gaps in knowledge.", "isFormerMentee" : false }, { "_id" : "uEfeoKc9sqjQuRcf8", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking" ], "domainFeatures" : [ "selfDriving", "healthcare", "robotics" ], "technicalFeatures" : [ "computerVision", "deepLearning", "productionization" ], "lastName" : "Phan", "firstName" : "Ray", "currentRole" : "Principal Software Engineer, Perception @ Magic Leap", "linkedInUrl" : "https://www.linkedin.com/in/rayryeng/", "gitHubUrl" : "https://github.com/rayryeng", "websiteUrl" : "https://stackoverflow.com/users/3250829/rayryeng?tab=profile", "locationString" : "Toronto, ON, Canada", "readme" : "# Hi there! Before you proceed any further, I have retired\n*Thanks for dropping by! I have unfortunately retired and am not taking on any new mentees until further notice. However, I may decide to take on a mentee if their situation is motivating enough. Please only reach out if absolutely necessary. Also, please note that I **do not support week-to-week / per session mentorships**. Please do not contact me if this is your desired form of mentorship.*\n\n# About me\nI am a computer vision and deep learning researcher and software engineer based in Toronto, Canada. \n I work at Magic Leap as a Principal Software Engineer, where I perform research and development in 3D reconstruction and perception and build products for augmented reality applications. My academic background originates from Ryerson University in Toronto, Canada, where I completed my Ph.D. in Electrical & Computer Engineering in 2013. I was also a former part-time engineering, mathematics and computer science instructor in various departments. I code not only as a hobby but have been doing it professionally for over 20 years. I am a registered Professional Engineer (P.Eng.) in Ontario, Canada, with 10 years of industry experience in various sectors, both in Toronto and the San Francisco Bay Area. These include medical imaging, consumer 360-degree cameras, retail robotics, 3D reconstruction, augmented reality (AR) and self-driving cars. I am a frequent Stack Overflow contributor, currently in the [top 1000 of users of all time.](https://stackoverflow.com/users/3250829/rayryeng?tab=profile)\n\n# Research Focus\n\nMy main research areas and expertise are computer vision, machine learning and deep learning for health care, robotics, augmented reality, dense reconstruction and perception for autonomous vehicles and systems. In particular, I am very interested in 3D reconstruction using various sensors to obtain a sense of how a computer, robot or agent interprets the outside world. At another point in my life, I worked on medical image and volume segmentation and the classification of anomalies in various medical modalities from large heterogeneous datasets. I'm also very interested in scene understanding, where the world is presented to a robot or self-driving car, making sense of the data that comes in and making decisions based on that data.\n\n# Employment History\n1. [Magic Leap](https://www.magicleap.com), Principal Software Engineer - Perception, April 2021 - Present\n2. [Enlitic](https://enlitic.com), Senior Research Scientist, October 2020 to March 2021\n3. [Oxbotica](https://oxbotica.com), Software Engineer - Object Tracking and Prediction, February 2020 to October 2020\n4. [Phiar](https://phiar.net), Senior Computer Vision Engineer, November 2019 to February 2020\n5. [HOVER](https://hover.to), Senior Computer Vision and Deep Learning Engineer, October 2018 to October 2019\n6. [Zebra Technologies](https://zebra.com), Staff Computer Vision Engineer, July 2016 to October 2018\n7. [Bubl Technologies](http://cfccreates.com/talent/companies/5-bubl-technology), Lead Software Engineer - Algorithms & Research, December 2013 to July 2016\n8. [PathCore](https://pathcore.com/), Algorithms Specialist, September 2013 to December 2013\n\n# Areas of specialization\n\n## Expert\n* Computer Vision - 3D Reconstruction, Pose Estimation, Multiview Geometry, Camera Calibration, Scene Understanding\n* Optimization - Linear and Nonlinear Least Squares, Bundle Adjustment\n* Deep Learning - Image Classification, Object Detection, Image and 3D Semantic Segmentation\n* Robotics - Sensor Fusion, Object Tracking and Prediction, Simultaneous Localization and Mapping (SLAM), Structure From Motion\n* Machine Learning - Predictive Modeling, Exploratory Data Analysis, Data Preprocessing and Deploying to Production\n* Signal Processing - FFT, Time-Frequency Analysis (STFT, Wavelets), Image Processing, Audio Signal Processing and Analysis\n\n## Previous Experience (Non-Expert)\n* Natural Language Processing\n* Deep Reinforcement Learning\n* Time Series Forecasting\n\n# Technical Skills\n\n## Programming Languages\nPython, C, C++, MATLAB, Java, PostgreSQL\n\n## Frameworks\n* Python: NumPy, Scipy, Scikit-learn, Matplotlib, Pandas, OpenCV, Tensorflow (1.x & 2.x), Keras, PyTorch, OpenAI Gym, PySpark, Apache Cassandra\n* C++: OpenCV, PCL, Eigen, Ceres Solver\n\n## Cloud + Deployment\nAWS - EC2 and Sagemaker, Heroku, Docker, Amazon Redshift, Apache Airflow\n\n# What I expect from mentees\nI'm looking for mentees who share any interests I have or share any overlap of skills I have to start a new career in the research or industrial areas I've had the opportunity to be in. Even if we don't have a lot in common, let's talk if you see anything that piques your interest! Coding skills don't have to be strong, but mentees should have the skills to adapt to whatever platform is needed to get the job done. The mentee should also have a decent math background, but they should have the aptitude to learn if they don't. If you want to do a project together, we can negotiate the number of hours to commit, but I would recommend between 5-10 hours a week. I will provide code reviews and regular one-on-one meetings. If you want to practice being interviewed in machine learning, computer vision and related areas of deep learning, I can certainly provide that as well as I have extensive experience as an interview candidate, an interviewer and have built teams from the ground up.\n\n# What I can help with\nWith my skill set and expertise, I can help you develop applications, define an industry-level project to get your skillset and knowledge up and guide you through completing the project so you can become marketable to employers. I can also help you deploy your project so the public can access and use it, help you practice your coding skills and get up to speed on coding standards, set up your development environment, reviewing your CV and provide mock industry interviews that give you a realistic taste of what it's like to interview for jobs. I can also introduce you to my network and work my hardest to get you a job within your field of interest.\n\n# Now the hard question... what's your rate?\nI typically ask for 7-10% of a mentee's first-year salary for Income Sharing Agreement-style mentorships. I give this range because it depends on their current situation and educational training. This rate can be negotiated, so if you're interested in working together, let's talk!", "isFormerMentee" : false }, { "_id" : "nb354AxCeYBj2Dq4N", "linkedInUrl" : "https://www.linkedin.com/in/chen-liu-28432b2b/", "lastName" : "Liu", "firstName" : "Cecilia", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "socialMedia" ], "technicalFeatures" : [ "nlp", "deepLearning", "unsupervised", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nSenior data scientist @Wattpad; NLP specialist with academic background in computer vision; experience working in research environments \n### What I can help with\nNLP/NLU, Deep Learning, big data pipelines; industry research; end-to-end data science", "isFormerMentee" : false }, { "_id" : "gi5RcDYqvB2ioFeMF", "firstName" : "Winston", "lastName" : "Li", "linkedInUrl" : "https://www.linkedin.com/in/winstonl/", "currentRole" : "Former Director of Data Science @PwC | Currently building a consumer intelligence startup", "domainFeatures" : [ "consulting", "research", "finance" ], "technicalFeatures" : [ "dataScience", "analytics", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "locationString" : "Toronto, ON, Canada", "websiteUrl" : "http://arimadata.com", "readme" : "### About me\nFormer Director of Data Science @PwC Canada; currently building my startup on consumer analytics. \n### What I can help with\nEnterprise-level data science, building your data science brand for. Also open to mentees who are interested in the latest deep learning technologies to work on research projects together.", "isFormerMentee" : false }, { "_id" : "yJKveKWkkiBN3g2dw", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls" ], "domainFeatures" : [ "healthcare", "consulting", "retail" ], "technicalFeatures" : [ "productionization", "recommenders", "dataScience" ], "lastName" : "Kukuyeva, PhD", "firstName" : "Irina", "locationString" : "Los Angeles, CA, USA", "currentRole" : "Chief Data Officer", "linkedInUrl" : "https://www.linkedin.com/in/ikukuyeva/", "gitHubUrl" : "https://github.com/ikukuyeva", "websiteUrl" : "http://www.ikukuyeva.com", "readme" : "### About Me\nDr. Irina Kukuyeva is a fractional Chief Data Officer, helping companies grow by advising on product, data and analytics strategy to develop customer-centric, data-driven products with market fit. She has 10 years of experience collaborating with technical and business/clinical stakeholders, developing and productionalizing machine learning models for start-ups and large-sized companies in areas of healthcare, IoT, fashion, hospitality, social media, online advertising, market research and online advertising. \n\nShe has mentored 30+ data professionals since 2013, and has helped 2 mentees find their next role through SharpestMinds. \n\nIrina holds a PhD in Statistics from UCLA, where she developed a novel image compression algorithm and uncovered similarities between two storms on Jupiter -- a finding confirmed by NASA’s Juno mission.\n\n### What I expect from mentees\nAll skill levels and backgrounds welcome. You need to be passionate about data, be willing to work independently, tell me how you learn best, and be willing to commit time to **polish** an interview-grade (vs homework-grade) data science project in **Python** during our mentorship, to grow in your career as a DS/MLE.\n\n### What I can help with\nI'd like to help you put your best foot forward for hiring managers. I'm happy to collaborate with mentees on: \n- Polishing a DS/MLE project in Python, which includes helping you to: \n - answer a business question, \n - use appropriate model(s), \n - write cleaner code, \n - add a testing suite, \n - follow software development best practices, and \n - (optionally) create a Docker container and/or an API;\n- Practicing technical and non-technical communication;\n- Your resume;\n- Other prep as needed.\n\n### Who I'm not a great fit for\nPlease note: I'm **not** a great fit for mentees that are looking to:\n- break into data science, or\n- need help picking a topic to start a data science project for the first time, or\n- need someone to teach them ML or Python,\n\nsince we'll be working together for only 8 weeks. Having said that, here are some [tips](https://www.ikukuyeva.com/blog/Breaking-into-data) for picking your first data science project.\n\n### Mentorship Structure and Fees\nWeekly 1-hour Zoom meetings for 8 weeks and 4%\n\n### When reaching out, please address the following:\n1. Your technical background, including experience with Python, Git, and ML, \n2. What (specifically) you're looking for in your next role, \n3. Where you are in the interview process, and\n4. What (specifically) you're looking for in a mentor.", "isFormerMentee" : false }, { "_id" : "TYDySRT2PEvtmmPoa", "linkedInUrl" : "https://www.linkedin.com/in/ryandarbyturner/", "lastName" : "Turner", "firstName" : "Ryan", "locationString" : "San Francisco, CA, USA", "currentRole" : "Senior machine learning researcher @ Twitter", "domainFeatures" : [ "finance", "socialMedia", "research" ], "technicalFeatures" : [ "timeSeries", "dataScience", "deepLearning" ], "readme" : "### Hi There!\n\nThanks for stopping by and taking a look at my profile. Please send me a message if you see any overlap in interests.\n\n### About me\n\nI am an ML researcher at @Twitter making sure we keep relevant and avoid fake news. I was formerly at @Uber, @MILA.\n\nI got into machine learning before it was cool. I started off with an interest in Bayesian statistics in 2006 during my undergrad. From there I did a PhD in Ghahramani's machine learning group in Cambridge, UK in 2007-2011. Later, I got into the whole deep learning thing when I worked with Yoshua Bengio in Montreal.\n\nI've applied ML while working in finance, aerospace, cyber-security, systems optimization (Uber), social media (Twitter), and advertising (Twitter/Google). So whatever your application area of interest, there's a good chance we would be a good match.\n\n### What I expect from mentees\n\nI welcome mentees from all different backgrounds. I am looking for mentees that are excited about data driven algorithms, are able to work independently, and want to build a quality open source project (or ML conference paper).\n\n### Areas I can help\n\nI can help mentees with the whole spectrum of preparation:\n\n- Helping with an open source ML project and getting it polished to production level\n- Helping write an ML paper for submission to an ML conference (ICML, NeurIPS, etc)\n- Mock interviews (I have been on both sides many times)\n- Resume prep\n\n### Mentorship format\n\nWeekly 1-hour meetings (zoom/hangouts) for 10 weeks and 4%.\n\n### When messaging please summarize\n\n- Your technical background\n- What specialty you are interested in for the next role\n- Where you are in your job search process now\n- What you want in a mentor", "gitHubUrl" : "https://github.com/rdturnermtl", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : false }, { "_id" : "Ac8DZnfofxTh7GG3h", "linkedInUrl" : "https://www.linkedin.com/in/christophe-williams/", "lastName" : "Williams", "firstName" : "Christophe", "locationString" : "Arlington, VA, USA", "currentRole" : "Founder @ Cedar Labs", "domainFeatures" : [ "finance", "digitalMarketing", "retail" ], "technicalFeatures" : [ "analytics", "dataEngineering", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "projects", "oneOnOneCalls" ], "readme" : "### About me\nFounder @ Cedar Labs, former DS/PM at Foundry.ai, Amazon, Capital One, 2012 Obama campaign. Wharton MBA, Williams math major. \n\n### What I expect from mentees\nI am looking for strong communicators who want to further develop their abilities to use data to drive business changes, as well as set up data pipelines and cloud architecture to efficiently run models in production. \n\nMy ideal mentee has been programming and doing data analysis for several years, but is looking to build out their engineering / full-stack data science skills: getting up on the cloud, productionizing models, setting up endpoints to support model input/output. \n\nI have a pure math/stats background and am interested in working with people who are willing to get in the weeds on data science methods. \n\n### What I can help with\nAWS, Model productionization, Data pipelines and ETL, math foundations of data science", "isFormerMentee" : false }, { "_id" : "g5rR7eCXC5uZ45WkL", "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "mockInterviews", "networking", "codeReview" ], "domainFeatures" : [ "research", "edtech", "dataForGood" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "analytics" ], "lastName" : "Liu", "firstName" : "Ran", "locationString" : "Seattle, WA, USA", "currentRole" : "Chief AI Scientist, Amira Learning", "linkedInUrl" : "https://www.linkedin.com/in/ran-liu-988a9b29/", "websiteUrl" : "https://drranliu.github.io/", "readme" : "### About me\nLead Machine Learning Scientist at Amira Learning, an education technology startup, where I work on developing machine learning and neural network approaches to detecting and classifying miscues as children learn to read out loud.\n\nFormerly the Chief Data Scientist at MARi, an edtech/career-tech startup.\n\nMy Ph.D. and post-doctoral training were at Carnegie Mellon University where I worked on state-of-the-art AI in Education models. I have successfully placed three mentees in senior-level data science jobs at companies of varying sizes -- Tesla, Broadcom Inc. (large international corporation), and BresoTEC (successful startup).\n\n### What I expect from mentees\nI'm looking for mentees who are already comfortable with Python, and understand the fundamentals of Pandas and Scikit-learn. If you are interested in working on neural network based models, you should have some familiarity with Tensorflow and Keras and ideally have completed some MOOCs/tutorials. You should be willing to commit 10+ hrs per week.\n\nI will provide regular one-on-one meetings and can help you conceive and implement a full-stack data science project. During this process, I will identify your personal skill gaps relative to the requirements of your target jobs and recommend the most effective online resources to help you be fully prepared for the application process. I have friends at companies of all sizes and can help you network. I'm open to any candidate with a strong technical foundation and strong work ethic. I have a soft spot for academics who are looking to transition to industry and can help you navigate that process based on personal experience.\n\n### What I can help with\nPython (TensorFlow, Scikit-Learn, Pandas, Numpy), Data Preprocessing/Cleaning/ETL, Cloud (AWS, Google), Databases (Firestore, PostgreSQL, MongoDB), Data Architecture, GraphQL", "isFormerMentee" : false }, { "_id" : "4DqFJSdpqprxBjDqm", "linkedInUrl" : "https://www.linkedin.com/in/kevin-mcpherson/", "lastName" : "McPherson", "firstName" : "Kevin", "locationString" : "Philadelphia, PA, USA", "currentRole" : "Machine Learning Engineer @ Trustpage", "domainFeatures" : [ "saas", "dataForGood", "research" ], "technicalFeatures" : [ "dataScience", "productionization", "reinforcementLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls" ], "readme" : "### About me\nExperienced Data Scientist and Machine Learning Engineer with experience not only building models but deploying them to production code. Skilled in Python, Amazon Web Services (AWS), machine learning algorithms, interests in learning about data warehousing, big data, computer vision. \n### What I expect from mentees\nI'm looking for mentees who want to hone their Python skills to do efficient work in supervised and unsupervised learning projects across > 5 hours per week. I can provide one-on-one calls as we work through code efficiency and talk about how to put projects into production across AWS. I'm interested in mentoring anyone from career changers to seasoned vets!", "gitHubUrl" : "https://www.github.com/scientistkev", "isFormerMentee" : false }, { "_id" : "3Gnd3cnXXqKJn4Hs4", "lastName" : "Patel", "firstName" : "Vatsal", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "finance", "research", "media" ], "technicalFeatures" : [ "dataScience", "recommenders", "productionization" ], "linkedInUrl" : "https://www.linkedin.com/in/vatsal-p-a57978149/", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "projects", "oneOnOneCalls" ], "currentRole" : "Machine Learning Engineer", "readme" : "## About me\nCurrently work as a Data Scientist at Torstar, previously an MLE at Wondeur AI. I've built out and deployed various projects in network analysis, NLP, recommender system, and time series.\n\n## What I expect from mentees\n- Committed to finding a job in the data field \n- Experience with Python & SQL\n- Can commit 10-15 hours / week to improve their skillls\n- Taken some MOOCS / Data science courses\n\n## What I can help with\n- Weekly 1-1 meetings \n- Networking and personal marketing\n- Code review & pair programming\n- Deployment (via AWS / Heroku)\n- Mock interviews tailored to specific companies", "websiteUrl" : "https://www.vatsalp.com/", "isFormerMentee" : true }, { "_id" : "WAaSHozRSt9xAqmL9", "linkedInUrl" : "https://linkedin.com/in/subashgandyer", "lastName" : "Gandyer", "firstName" : "Vejey Subash", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior AI Lead", "domainFeatures" : [ "healthcare", "edtech", "bci" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "mockInterviews", "projects" ], "technicalFeatures" : [ "nlp", "computerVision", "deepLearning" ], "readme" : "### About me\nSenior AI Lead @ ConversationHealth\nFormerly Data Scientist @Healthchain\nFormerly an Assistant Professor \n### What I expect from mentees\nI'm looking for mentees who are already comfortable with Python and sklearn, tensorflow and willing to commit 10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and mock-interviews. I'm especially interested in mentoring someone having a sound knowledge on math/stats/CS STEM, and interested in NLP and/or Computer Vision projects. \n### What I can help with\nNLP, CV", "isFormerMentee" : false }, { "_id" : "g5nGrHs8PqNRciBCc", "linkedInUrl" : "https://www.linkedin.com/in/dobbali/", "lastName" : "Kumar Dobbali", "firstName" : "Manoj", "locationString" : "Salt Lake City, UT, USA", "domainFeatures" : [ "digitalMarketing" ], "technicalFeatures" : [ "dataEngineering", "dataScience", "tabular", "analytics", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist @Backcountry; working on experimental design and data pipelines for digital marketing \n### What I can help with\nClustering, Scikit-Learn, pricing predictions, data visualization, DataBricks", "isFormerMentee" : false }, { "_id" : "DCxHX8qW8stCnDjA7", "linkedInUrl" : "https://www.linkedin.com/in/quest-moffat-6b54a858/", "lastName" : "Moffat", "firstName" : "Quest", "locationString" : "Kansas City, MO, USA", "currentRole" : "Digital Mercenary and Software Architect at Block Knowledge", "domainFeatures" : [ "finance", "telecom", "edtech" ], "technicalFeatures" : [ "nlp", "recommenders", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "projects", "networking", "codeReview", "oneOnOneCalls" ], "readme" : "### About me\nQuest is a social serial entrepreneur and growth hacker that has a SERIOUS passion in helping underestimated individuals achieve their goals. Quest has a unique background in software/product creation and business. Specialty: Business Dev, Product Strategy, Branding, Fullstack Software Dev along with $3M in funding for startup funders and one exit. \n### What I expect from mentees\nI am seeking to mentor a student and or young professional who wants to build something innovative and can impact communities at large. I am especially interested in AgTech, EdTech, FinTech, Customer Experience, Product Development, and using data for good. I can assist in DevOps, System Architecture, and end to end product development. I will offer weekly calls, whiteboard sessions, networking opportunities, interview techniques, and access! Lets build something great.", "websiteUrl" : "http://www.blockknowledge.co", "isFormerMentee" : false }, { "_id" : "QE7QXMr6REHssr2Pv", "linkedInUrl" : "https://www.linkedin.com/in/sharathrao/", "lastName" : "Rao", "firstName" : "Sharath", "locationString" : "San Francisco, CA, USA", "currentRole" : "Head of Machine Learning at Instacart", "domainFeatures" : [ "digitalMarketing", "retail", "logistics" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "recommenders", "productionization", "dataScience" ], "websiteUrl" : "https://twitter.com/sharathrao", "readme" : "### About me\nI lead the machine learning team at Instacart that works on ML applications across several areas including search, recommendations/personalization, order quality, advertising fraud and general ML prediction problems. Prior to this role I have lead cross functional product engineering teams, been a senior individual contributor as a full stack DS/ML at Yahoo and another ad technology startup. \n### What I expect from mentees\nI am looking for mentees who are looking for help with going from their \"2nd DS/ML project to go to an MLE/DS job\". This means I can help with a) selecting a project b) give feedback on analysis/modeling, evaluation of their work c) taking an already good model to an even better model with pointers to state of the art work d) interview prep including mock interviews. I have hired a dozen ML engineers and interviewed over 200 engineers. \n\nI expect mentees have reasonably good programming skills in some language and basic familiarity with python and ML concepts.", "isFormerMentee" : false }, { "_id" : "gNc8ea2vuyHyLLtJN", "linkedInUrl" : "https://www.linkedin.com/in/evanvolgas/", "lastName" : "Volgas", "firstName" : "Evan", "locationString" : "Los Angeles, CA, USA", "currentRole" : "Tap Dance / Deep Learning Engineer", "domainFeatures" : [ "media", "research", "software" ], "technicalFeatures" : [ "deepLearning", "dataEngineering", "anomalyDetection" ], "mentorshipOfferings" : [ "codeReview", "networking", "projects", "oneOnOneCalls", "mockInterviews" ], "readme" : "### About me\nTap dancer, engineer, & founder of the Swarm Advisory Group. I adore blues, moshpits, poetry, & economics. Among my allergies, BS is pretty high up there. I research collective intelligence, networks, & chaos. Also, I break things. Mostly databases. Sometimes on purpose. Usually with permission. \n\nI like to ask why a lot and crack open the hood when I'm not really sure how things work. I love working with people who love connecting dots and finding ways to help them apply principles beyond the scope they were originally packaged in. Liberals arts and students with unconventional backgrounds are awesome. Math is everywhere, we'll develop a language if we need it. \n\nI'm a tap dancer and pretty keen on improvgraphy and chaos. If you need structure to learn, I'm probably not the best dance partner for you. If you like experimenting and want a partner to help curate your learning experience so that things get progressively harder in ways that illuminate how concepts relate to one another, we'd probably work well together. \n\n### What I expect from mentees\nThis summer I am going to partner with a few other data scientists to offer a team-based professional mentorship on the [Economics of Intelligence](https://neuroticnetworks.io/the-economics-of-intelligence/).\n\nIn terms of curriculum, the Economics of Intelligence will last for 12 weeks and be open to 12 students.\n\nThere will be six classes and six labs to go along with the six group-based homework projects.\n\nWe’re going to emphasize teamwork and reproducible research throughout the course of this mentorship. Knowledge of SQL, Python, and basic git will be assumed.\n\nYou can learn more and sign up for updates on the Economics of Intelligence at my [website](https://neuroticnetworks.io/).", "websiteUrl" : "https://neuroticnetworks.io/", "isFormerMentee" : false }, { "_id" : "WjfGcoSN8XYnwQ4TJ", "firstName" : "Andrew", "lastName" : "Nisbet", "linkedInUrl" : "https://www.linkedin.com/in/ajnisbet/", "locationString" : "Sunnyvale, CA, USA", "gitHubUrl" : "https://github.com/ajnisbet", "websiteUrl" : "https://www.andrewnisbet.nz/", "domainFeatures" : [ ], "technicalFeatures" : [ ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist @One Concern; building a CNN-RNN network to make empirical corrections to fluid equations for flood prediction. \n### What I can help with\nTime series models, scrapers, software engineering skills, geospatial modeling.", "isFormerMentee" : false }, { "_id" : "ePwEDH6qXGij5rBHt", "linkedInUrl" : "https://www.linkedin.com/in/hemant-sangwan/", "lastName" : "Sangwan", "firstName" : "Hemant", "locationString" : "Toronto, ON, Canada", "currentRole" : "Independent Consultant, Advisor to business startups in AI/Blockchain, Professor of Marketing and Analytics", "domainFeatures" : [ "research", "consulting" ], "technicalFeatures" : [ "dataScience", "analytics", "anomalyDetection" ], "mentorshipOfferings" : [ "projects", "codeReview", "networking", "oneOnOneCalls", "mockInterviews" ], "readme" : "### About me\nI am an independent consultant with ability to mentor in the areas of data science, machine learning, AI/Blockchain, marketing research and analytics, strategy, econometrics, and public policy. \n\nI am currently serving in the capacity of an expert advisor to a b2b startup in AI/Blockchain with focus on financial services.\n\nI have 12+ years of industry experience in management consulting, marketing research, analytics, and economics & policy with clients in financial services, retail, CPG, and telecom. In my professional consulting career, I worked with the top employers (Boston Consulting Group- BCG, GfK, IHS Markit) in the industry. \n\nI have a strong network among business analytics, AI/data science, management consultant communities in Canada/US. \n\nEducation: PhD (Management, Rotman School, U of Toronto)\n MS (Quantitative Economics, Indian Statistical Institute, India)\n### What I expect from mentees\nI am looking for mentees that are willing to learn skills not just related to data science subject matters but also in communication, ability to translate and interpret technical findings and results in simpler terms, project management, negotiation, and presentation. \n\nI will provide assessment of methodologies by focusing on their relative merits and limitations to achieve given objectives, better way to structure codes to make them efficient, intuitive explanations of terms and wordings used in data science field, ways to manage data and information, tips to structure a project and identify potential problems - data or non-data related, and possible solutions, suggestions to improve communication when discussing data science projects (e.g., scope, pricing, limitations, etc.) with key stakeholders.", "isFormerMentee" : false }, { "_id" : "sWtiauvsw8LJzenD3", "firstName" : "Derrick", "lastName" : "Johnson", "linkedInUrl" : "https://www.linkedin.com/in/derricklj/", "locationString" : "San Francisco, CA, USA", "gitHubUrl" : "https://github.com/derrickjnet", "currentRole" : "Senior Data Architect @TripIt; formerly @Accenture", "domainFeatures" : [ "digitalMarketing", "consulting" ], "technicalFeatures" : [ "dataEngineering", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nSenior Data Architect @TripIt; formerly @Accenture; built an ML model to optimize income from bookings on cruise ships \n### What I can help with\nConstrained optimization, data engineering, prediction models for marketing", "isFormerMentee" : false }, { "_id" : "mt279MChJG3GJ5Xi2", "firstName" : "Edouard", "lastName" : "Harris", "linkedInUrl" : "https://www.linkedin.com/in/e10is/", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ ], "technicalFeatures" : [ ], "mentorshipOfferings" : [ ], "readme" : "On the team at SharpestMinds. Please reach out to me if you need anything!", "isFormerMentee" : false }, { "_id" : "phf5f98T3nwWJw5gJ", "firstName" : "Ali", "lastName" : "Ahmed", "linkedInUrl" : "https://www.linkedin.com/in/ahmali86/", "gitHubUrl" : "https://github.com/aahmed-se", "locationString" : "Mountain View, CA, USA", "currentRole" : "Software @Streamlio; formerly @Microsoft", "domainFeatures" : [ "software" ], "technicalFeatures" : [ "dataEngineering", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nSoftware @Streamlio;\nformerly @Microsoft, @Morgan Stanley, @ElectronicArts, @Turn,@ Criteo\n built massive-scale data infrastructure for online training of ML models \n### What I can help with\nProduction-level data science at scale, using large datasets", "isFormerMentee" : false }, { "_id" : "LDton9k5gktEMEbAX", "linkedInUrl" : "https://www.linkedin.com/in/bashbaghi", "lastName" : "Bashbaghi", "firstName" : "Saman", "locationString" : "Montreal, QC, Canada", "domainFeatures" : [ ], "mentorshipOfferings" : [ ], "technicalFeatures" : [ ], "isFormerMentee" : false }, { "_id" : "bJnu8yeP7WLpbEp88", "linkedInUrl" : "https://www.linkedin.com/in/trane293/", "lastName" : "Sharma", "firstName" : "Anmol", "locationString" : "Vancouver, BC, Canada", "currentRole" : "Manager, Innovative AI Projects @ Xtract AI", "domainFeatures" : [ "healthcare", "selfDriving", "government" ], "technicalFeatures" : [ "deepLearning", "computerVision", "productionization" ], "mentorshipOfferings" : [ "projects", "networking", "oneOnOneCalls", "codeReview", "mockInterviews" ], "readme" : "### About me\nManaging multiple teams working on computer vision and natural language processing problems, along with a full stack end-to-end ML software development team. Proven track record in ML/DL research specializing in medical image analysis. Bringing ML ideas to life from whiteboard to production. \n\nI focus on all-round development, from brainstorming ideas, to literature review, experimentation, failure, failure, failure (and how to cope with it, strategies to build upon them), success (build resilience to make this happen), to putting models into production, opening up secure microservices, efficient ML-centric cloud architectures and monitoring. Finally, I provide guidance for first time managers/team leads on how to effectively lead their team(s), understand their needs, setting up standardized data science workflows, and keeping the morale and efficiency high. \n\nI provide project ideas, 1-1 guidance, literature review best-practices, code/experiment management and communication skills. I will also provide code, resume and profile reviews. \n\n### What I expect from mentees\nA self-starter, self-motivated person who want to build their own niche within the data science industry and set themselves apart from the crowd. You have an innate interest in computer vision or medical image analysis (bonus if you prefer this), comfortable with Python as your go-to programming language, and a critically-thinking mind. A special interest in the overall ML-system lifecycle is a huge bonus. \n\nPrevious experience/knowledge of software development not necessary. Mentees from varied backgrounds, minorities, socio-economic conditions are welcome and encouraged.", "websiteUrl" : "https://trane293.github.io/", "gitHubUrl" : "https://github.com/trane293", "isFormerMentee" : false }, { "_id" : "ZK3nuWeTvEiC9jyTw", "lastName" : "Johnson", "firstName" : "Aiden", "currentRole" : "Data Scientist @Breakthrough Data Science", "locationString" : "Rapid City, SD, USA", "domainFeatures" : [ "consulting", "healthcare", "edtech" ], "technicalFeatures" : [ "dataScience", "analytics", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI am an experienced machine learning practitioner with over a decade of experience in organizations ranging in size from startups like Blue Orange Digital and fortune five hundred organizations such as CVS Health. In addition to my professional data science experience, I am an accomplished mentor and data science curriculum developer working with several of the top online data science Bootcamps. \n\nI developed [The Data Science Method](http://bit.ly/2T6Hpp5) a framework for approaching all data science projects to ensure impactful outcomes and meaningful results.\n\nRecently, I have been writing about my experience as a professional interviewer, I authored a [book on what to expect in data science interviews](https://www.amazon.com/dp/B08B3FBF37) and I have a planned book release [Data Science Study Plan: Break into Data Science](https://www.amazon.com/dp/B08B45HZ83) to guide anyone through the necessary topics in developing their own skills to get into data science.\n\n### What I can help with\n- Machine Learning models of all kinds; supervised, unsupervised, and regression problems. \n- Anamoly Detection\n- Time Series\n- Environmental Data Analysis\n- Healthcare Data\n- Finance and Marketing \n- Pricing Models\n- Image Processing\n- Data project scoping\n- Interview preparation", "linkedInUrl" : "https://www.linkedin.com/in/aiden-v-johnson/", "isFormerMentee" : false }, { "_id" : "sNTiAeei69w7TJfeM", "linkedInUrl" : "https://www.linkedin.com/in/npschafer/", "lastName" : "Schafer", "firstName" : "Nicholas", "locationString" : "Houston, TX, USA", "currentRole" : "Director of Data Science @ Eventellect", "domainFeatures" : [ "research", "sports", "logistics" ], "technicalFeatures" : [ "dataScience", "analytics", "tabular" ], "mentorshipOfferings" : [ "mockInterviews", "projects", "oneOnOneCalls", "codeReview", "networking" ], "websiteUrl" : "http://www.npschafer.com", "readme" : "### About me\nDirector of Data Science @ Eventellect. PhD Physicist. 10+ years of experience mentoring graduate students and data scientists. I love discovering the structure of problems by iterating between thinking about data generating processes and refining my current understanding through analyses of data. \n### What I expect from mentees\nI can relate best to people who are trying to transition out of academia into an industry position. Whether you are someone who has started graduate school and are having second thoughts, has finished your degree and is now wondering what to do, or, like me in a previous life, has already spent 10 years writing papers (and hopefully code!), I think that I might be able to help you. How we interact will be based on your specific needs, but most likely the interaction will involve a weekly call to check-in. I can create study plans and suggest materials for self-study, but project-based learning is probably best because it tends to be more efficient and interviewers like to discuss your projects. I'll work with you to devise a plan and to make sure that you are able to stick to it (or modify it as needed).", "gitHubUrl" : "https://github.com/npschafer", "isFormerMentee" : false }, { "_id" : "YWYH6PtBbz8L5DDTP", "linkedInUrl" : "https://www.linkedin.com/in/adammbarnhard/", "lastName" : "Barnhard", "firstName" : "Adam", "locationString" : "San Francisco, CA, USA", "currentRole" : "Founder @ Booklet.ai", "domainFeatures" : [ "selfDriving", "eCommerce", "saas" ], "technicalFeatures" : [ "recommenders", "productionization", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "projects", "oneOnOneCalls" ], "readme" : "### About me\nAdam Barnhard is a founder and CEO at Booklet.ai. Prior to Booklet.ai, he was the Head of Data at Brandless and a Data Scientist at Uber. He has extensive experience implementing machine learning models in production and works closely with business leaders to ensure those models are impactful.", "isFormerMentee" : false }, { "_id" : "3a8g4EKqss8SukBAQ", "linkedInUrl" : "https://www.linkedin.com/in/cyint/", "lastName" : "Fredriksen", "firstName" : "Daniel", "locationString" : "New York, NY, USA", "currentRole" : "Software Developer, Data Scientist, Technology Executive, Entrepreneur, Angel Investor", "domainFeatures" : [ "media", "telecom", "software" ], "technicalFeatures" : [ "dataScience", "analytics", "dataEngineering" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects", "mockInterviews", "networking" ], "readme" : "### About me\nI've been working in the technology and data science fields for almost 26 years. I have mentorship opportunities available for several different roles, including:\n\nData Scientist,\nMachine Learning Engineer,\nSoftware Application Engineer,\nSoftware Architect,\nDevOps Engineer,\nAnalyst,\nGraphic Designer.\n\nI have a set of recommended certifications and courses for each role, of which I will reimburse you for after completion. I can then assign you to work on a live team project and provide guidance throughout. Finally, some opportunities will be available to do some paid work at a globally competitive rate. This should provide you with a good background to apply to higher-paid positions in larger organizations.\n\nMy SharpestMinds income share rate is 10%", "gitHubUrl" : "https://github.com/dfredriksen", "isFormerMentee" : false }, { "_id" : "exsTkfNYchANH7XnA", "linkedInUrl" : "https://www.linkedin.com/in/sergeyaorshanskiy", "lastName" : "Orshanskiy", "firstName" : "Sergey", "locationString" : "New York, NY, USA", "domainFeatures" : [ "finance", "eCommerce" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "codeReview", "projects", "oneOnOneCalls" ], "technicalFeatures" : [ "dataScience", "analytics", "recommenders" ], "currentRole" : "Senior Data Science Consultant", "readme" : "### About me\nPhD in Math. Startup exit as key employee (Bask Labs acq. by Grubhub, 2016). Programming since age 9. Did options trading. ACM ICPC World Champion-2004.\nTaught college-level math, tutored math/computer science, certified yoga teacher. \n\nMe giving a talk on career strategy (short version): https://www.youtube.com/watch?v=C4-rbYuvutE&t=82s\n### What I expect from mentees\nI'm looking for mentees who are hungry to succeed and will do whatever it takes. Some python skills and an understanding of basic statistics are expected.\nI can help if\n* the mentee wants to work on an interesting project while making useful connections\n* the mentee has solid tech skills but struggles with the psychological/business aspect of the interviewing\n* the mentee is targeting positions requiring advanced math / algorithms / data science\n* the mentee is willing to discuss and is seeking input on ALL aspects of the job search. \n\nI am not the best person if\n* you've ever had <2 years of programming experience\n* your primary focus is data engineering\n\nBonus points if the mentee is OK with me recording mock interview sessions: I am trying to research how to conduct / prepare for interviews more efficiently for everyone involved.", "isFormerMentee" : false }, { "_id" : "Y2qyEbQkLwSLCekB2", "linkedInUrl" : "https://www.linkedin.com/in/david-oxnard/", "lastName" : "Oxnard", "firstName" : "David", "locationString" : "New York, NY, USA", "currentRole" : "Data Scientist at JP Morgan Chase", "domainFeatures" : [ "finance", "software" ], "technicalFeatures" : [ "dataScience", "timeSeries", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "projects", "oneOnOneCalls", "networking" ], "readme" : "### Overview\nI work with mentees that want to land their first role as a Data Scientist. My work includes clustering, classification, forecasting, and explainability problems, plus many more. My current title is Senior Data Scientist at Socure, a fintech scaleup. Previously, I was a Data Scientist at J.P. Morgan for 4 years.\n\nBefore jumping to Data Science, I worked in a completely nontechnical field for several years after undergrad. I made the jump by learning everything I could about machine learning, and by networking my butt off. If you come from a \"nontraditional\" background and want to make the jump, I understand your situation, and I want to help. You don't need formal education to become a Data Scientist, you just need to have discipline and trust yourself. I can help with both of those things.\n\n### Who I Work With\nYou are my ideal mentee if you:\n- have a strong grasp on Python and Pandas, and have used GitHub before (or similar)\n- have taken an intro to statistics course\n- can articulate yourself clearly and concisely\n\n### Mentorship\nBelow is an outline of a typical mentorship with me. Everything is open to customization but I have found that this basic outline works well:\n- 12 weeks, 1-hour sessions, 1-2 times a week\n- Conceptualize, build, and deploy an ML project\n- 2 mock interviews\n- Networking and ongoing support after the 12 week mentorship\n\nI will help you build the following hard skills...\n- Building a machine learning pipeline\n- Model evaluation\n- Model deployment\n- Data cleaning/wrangling/munging\n- Data visualization\n- Python best practices, advanced techniques\n- Web scraping\n- Database creation\n\n...as well as the following soft skills:\n- Communicating project design choices\n- Interview prep\n- Networking\n\n### Interviewing with me\nI am coming back to mentoring after some time off after the birth of my first kid(!). I'd like to take on one mentee to start with.\n\nHere are some examples of questions that I might ask you when we interview:\n- What excites you about working in Data Science?\n- What DS projects have you already done?\n- Explain how K-Means and K-Nearest-Neighbors are different\n- What is backpropagation, and why is it important?\n\nI may ask some specific Python-related questions to gauge your skill level. I would expect you to be able to answer all of these questions and give examples:\n- What is the difference between a class and an object?\n- What is a decorator?\n- What are `*args` and `**kwargs`?\n- What is a side effect?\n\nI also may ask some statistics / probability questions to understand your quantitative understanding. Some examples might be:\n- What is the difference between the mean and median, and when might you use one vs. the other?\n- What is Bayes' Rule and how does it work?\n- How do you do a hypothesis test, and what does it enable you to say?\n- How do you interpret the coefficients in a Linear Regression model?", "isFormerMentee" : false }, { "_id" : "SnSoba5PZ2s5C6RxZ", "linkedInUrl" : "https://www.linkedin.com/in/azadeh-esmaeili-8aa473b2", "lastName" : "Esmaeili", "firstName" : "Azadeh", "locationString" : "Dallas, TX, USA", "domainFeatures" : [ "finance" ], "technicalFeatures" : [ "dataScience" ], "mentorshipOfferings" : [ "oneOnOneCalls" ], "isFormerMentee" : false }, { "_id" : "4bjMY6rHb7fhNKtic", "linkedInUrl" : "https://www.linkedin.com/in/justinmatthewsmith/", "lastName" : "Smith", "firstName" : "Justin", "locationString" : "Minneapolis, MN, USA", "domainFeatures" : [ "logistics" ], "technicalFeatures" : [ "dataEngineering", "timeSeries", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "currentRole" : "Software Engineer @ C.H. Robinson", "gitHubUrl" : "https://github.com/smithjustinm", "readme" : "### About me\n\nMy name is Justin and I am a Software Engineer at C.H. Robinson, a logistics and supply chain company, in a Data Science and Machine Learning group. I am a Sharpest Minds mentee myself, and successfully transitioned from a non-technical background.\nMy work as a software engineer is a mixture of software, data, and machine learning engineering (and some cloud engineering, too). I am passionate about software design, and I enjoy teaching. I am also active in the interviewing process at C.H. Robinson. \n\n\n### What I can help with\n\n***Interviews*** I am active in the interview process at C.H. Robinson, and I’ve written most of the rubrics we use. \n\n***Code review*** I write and read a lot of code, mostly Python.\n\n***Projects*** I work on a lot of features as well as new projects. Somewhere in between is likely a good scope. End-to-end, I find design documents to be a helpful part of the planning process.\n\n***Networking*** Reaching out and building a network can be difficult, I can help build confidence and give support.\n\n\n### What I expect from mentees\n\n***10+ hours of work per week*** More is better.\n\n***Open and direct communication*** If you can't make a meeting or a deadline just tell me and we will arrange a solution. This is a key skill to develop. \n\n***Be prepared*** I will work hard to help you, and I expect you to work hard as well.", "isFormerMentee" : true }, { "_id" : "H6bvZrK8W7fnzJCtd", "firstName" : "Sowmya", "lastName" : "Vajjala", "linkedInUrl" : "https://www.linkedin.com/in/sowmya-vajjala-2a38734/", "gitHubUrl" : "https://github.com/nishkalavallabhi", "websiteUrl" : "https://nrc.canada.ca/en/corporate/contact-us/nrc-directory-science-professionals/sowmya-vajjala", "locationString" : "Ottawa, ON, Canada", "currentRole" : "Researcher at National Research Council, Canada", "domainFeatures" : [ "research", "legal", "socialMedia" ], "technicalFeatures" : [ "nlp", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI spent time both in academia and industry working on various NLP problems. I also have experience as an instructor/advisor for university students doing NLP projects. I recently co-authored a book published by O'Reilly Media - http://www.practicalnlp.ai/\n\n### What I expect from mentees\nOn the technical side: some background knowledge on NLP (e.g., how do you extract features from text?) and some basic experience with machine learning (e.g., you know what sklearn is, and how to use it). On the non-technical side - I expect enthusiasm, timely responses, and clear communication. \n\n### What I can help with\ntechnical: NLP, machine learning, deploying ML/NLP systems, data creation/collection, code reviews \nother skills: academia to industry transition in data science, interviews preparation, general career guidance.", "isFormerMentee" : false }, { "_id" : "D4ZxjgEsyFRCBcfgT", "linkedInUrl" : "https://www.linkedin.com/in/tylerfolkman/", "lastName" : "Folkman", "firstName" : "Tyler", "locationString" : "Lehi, UT, USA", "currentRole" : "Head of AI at Branded Entertainment Network", "domainFeatures" : [ "digitalMarketing", "socialMedia", "eCommerce" ], "technicalFeatures" : [ "productionization", "deepLearning", "dataScience" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "networking", "codeReview", "mockInterviews" ], "readme" : "### About me\nTyler leads a team that strives to reinvent product placement with machine learning. Before BEN, Tyler worked at Ancestry and helped create machine learning algorithms to connect millions of family trees. Tyler has a Master’s in Computer Science from the University of Texas at Austin. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your deep learning, model productionization, networking, and communication/business skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "tnhmiRg5ogmRssx3C", "linkedInUrl" : "https://www.linkedin.com/in/joseph-catrambone-07552b54/", "lastName" : "Catrambone", "firstName" : "Joseph", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist @ Primer.ai", "domainFeatures" : [ "government", "legal", "software" ], "technicalFeatures" : [ "nlp", "deepLearning", "computerVision" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "projects", "oneOnOneCalls" ], "readme" : "### About me\nData scientist @ Primer.ai. Ex-Googler. Amateur game developer and lover of generative models.\n### What I expect from mentees\nI'm looking for mentees who are reasonably comfortable with Python. I can provide code-review, help with debugging, provide guidance on project selection, and am happy to do mock interviews. I am most interested in training models from scratch rather than fine tuning models, but practicality beats purity. My background is computer science and I did my masters with a focus in ML.", "gitHubUrl" : "https://github.com/josephcatrambone", "websiteUrl" : "https://www.josephcatrambone.com", "isFormerMentee" : false }, { "_id" : "ywRGThteYastWCH6H", "linkedInUrl" : "https://www.linkedin.com/in/andrewzirm/", "lastName" : "Zirm", "firstName" : "Andrew", "locationString" : "Reisterstown, MD, USA", "currentRole" : "Senior Data Scientist / Analytics Engineer @ Greenhouse Sofware", "domainFeatures" : [ "software" ], "technicalFeatures" : [ "visualization", "dataScience", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking", "projects" ], "readme" : "### About me\nPh.D. Astrophysicist that made the transition to data science via the Insight Data Science program here in NYC. I live in suburban NJ with my wife and son. \n### What I expect from mentees\nI am looking for mentees that are fully committed to spending 10-20 hours per week to level-up their data science skills by applying them to a project. I will provide my time for one-on-one meetings scheduled regularly (~2 a week) and as necessary. I will also review code, assist with tooling for model building and deployment, and work with the mentee to effectively communicate their work to potential employers.", "isFormerMentee" : false }, { "_id" : "PMgG5qTPpsJmBgFKv", "linkedInUrl" : "https://www.linkedin.com/in/rikturr/", "lastName" : "Richter", "firstName" : "Aaron", "locationString" : "Fort Lauderdale, FL, USA", "currentRole" : "Data Scientist @ Modernizing Medicine", "domainFeatures" : [ "healthcare" ], "technicalFeatures" : [ "tabular", "dataEngineering", "analytics" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects" ], "gitHubUrl" : "https://github.com/rikturr", "websiteUrl" : "https://rikturr.com", "readme" : "### About me\nData scientist / engineer, PhD from Florida Atlantic University. I write code for production and make sure research is reproducible \n### What I expect from mentees\nI'm looking for mentees working with (or learning) R and/or Python, who want to improve their code or data storytelling skills. I can help most with critically evaluating code for performance and simplicity improvements, or assist with data/analysis presentation in notebooks, plots, or dashboards. Can also help with scoping projects for best portfolio impact. Open to any backgrounds, but particularly interested in someone from non-traditional (CS or stats) background. \n### What I can help with\nApache Spark, Airflow, R/tidyverse, Shiny, Python, scikit-learn, pandas/numpy", "isFormerMentee" : false }, { "_id" : "uDTenXMzBHoRmyepF", "linkedInUrl" : "https://www.linkedin.com/in/wrichardyu/", "lastName" : "Yu", "firstName" : "Richard", "locationString" : "Toronto, ON, Canada", "currentRole" : "Digital Products & Analytics Lead", "domainFeatures" : [ "finance", "media", "dataForGood" ], "technicalFeatures" : [ "dataScience", "analytics", "nlp" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "### About me\nWeb Admin & Analytics Lead @Jack.org, formerly @Torstar & @Ampli\n### What I expect from mentees\nI'm looking for mentees who are proficient with programming (preferably Python) who are seeking to transition into data science/machine learning. I can provide guidance through one-on-one (virtual) weekly meetings. As well, I can help with how to translate business objective into analytics and machine learning projects.", "gitHubUrl" : "https://github.com/wojohowitz00", "isFormerMentee" : false }, { "_id" : "YwxeMR65GQamPuy6o", "linkedInUrl" : "https://www.linkedin.com/in/nasirat-a-470a7631/", "lastName" : "Akinola", "firstName" : "Nasirat", "locationString" : "Bakersfield, CA, USA", "currentRole" : "Data Analyst @ Kaiser Permanente", "domainFeatures" : [ "healthcare", "manufacturing", "government" ], "technicalFeatures" : [ "analytics", "visualization", "tabular" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking", "projects" ], "readme" : "### About me\nI have a BS in Pure and Applied Physics and a MS in Information Technology. I currently work as a Consulting Data Analyst with Kaiser Permanente. \n\n### What I expect from mentees\nI am looking for mentees who are comfortable using SQL, Python, SAS, Tableau , Power BI, R and other data querying and visualization tools. I am interested in mentees from a variety of backgrounds. \n\nI can be also of help if the mentee:\n\n• Wants to take on projects outside of their comfort zones and challenge themselves. \n\n• Trying to switch careers. \n\n• Has the tech skills but struggles with the psychological, technical or business aspect of the interviewing process\n\n• Struggles with job applications. \n\n\nThe hours I’m willing to commit is dependent on both myself and the mentee’s availability and I can be pretty flexible with my hours depending on each individual case. I also do expect a certain level of commitment from the mentee as well.", "isFormerMentee" : false }, { "_id" : "X3peXWvHamsfk3BfH", "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews" ], "domainFeatures" : [ "research", "healthcare" ], "technicalFeatures" : [ "deepLearning", "computerVision", "dataScience" ], "lastName" : "Lu", "firstName" : "Charlie", "locationString" : "Boston, MA, USA", "currentRole" : "machine learning researcher", "linkedInUrl" : "https://linkedin.com/in/charlie-lu", "readme" : "# Charlie Lu\n\n## About me\nI'm a machine learning researcher at MIT working in applications of computer vision and deep learning. Previously, I was a data scientist at Massachusetts General Hospital working with radiologists to develop AI medical devices for diseases like stroke and aortic aneurysm.\n\n## Mentorship\n* Mentorships are tailored to your specific careers goals and timelines\n* Happy to help with interview preparation, career advice, or anything else\n* Mentees should be comfortable with programming in Python and basic statistics e.g. random variables, probability distributions\n\n## How to get started with mentoring\nFeel free to book a time to chat --- https://calendly.com/charlie-lu\n\nThe following things would also be helpful before chatting.\n* Your resume or CV\n* Details about your background and career goals", "isFormerMentee" : false }, { "_id" : "foZT58ud8nDJRSWqW", "domainFeatures" : [ "software", "hardware", "saas" ], "technicalFeatures" : [ "dataEngineering", "deepLearning", "productionization" ], "lastName" : "Szalai", "firstName" : "Simon", "locationString" : "Vancouver, BC, Canada", "currentRole" : "Senior Software Engineer", "linkedInUrl" : "https://www.linkedin.com/in/simonszalai", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "gitHubUrl" : "https://github.com/simonszalai", "readme" : "## Hello!\n\nI am a self-taught Software Engineer with 5+ years of professional experience. I got my first full-time job as a software developer 3 months after I decided to learn how to code, I can help you do the same. I have been a SharpestMinds mentee myself, so I experienced mentorship from your side as well.\n\nRight now I work as a Senior Data Engineer, but I have a wide range of experiences including AI, Deep Learning, web and mobile development, and Data Science.\nI am also the CTO of Raiz Vertical Farms. We are developing a vertical farming solution that heavily uses sensor data to optimize operations and detect anomalies.\n\nBeing a self-taught engineer is great because you get to skip 4 years of college, you don't need to learn decades-old tech that nobody uses anymore and you can learn coding by working on projects that actually interest you, but it's a double-edged sword: you can easily get stuck and frustrated in your learning journey because there is no one that would point out the obvious things that you are doing wrong. (Which you would probably know about if you would have attended that college :))\nI learned this the hard way, so you don't have to: I can support you with continuous feedback, code reviews, and guidance so you can find more joy and less frustration while learning how to code.\nIf you want to become a well-paid, full-time data professional ASAP, message me. I can not only teach you how to code, but I can teach you how to teach yourself.\n\n### What I expect from my mentees\n- **Time Commitment**: 10-20 hours/week\n\n- **Communication**: Be open, honest, and direct.\n\n- **Preparation**: Be it a weekly meeting, mock interview, or coding exercise, come prepared.\n\n### What I can help you with\n- **Projects**: I can help you end-to-end. We can discuss different ideas, choose one, then I'll guide you through the design and implementation of the solution.\n\n- **Software engineering**: I believe that following proper software engineering practices while building a data science / data engineering project can make you really stand out.\n\n- **Cloud computing**: I think projects can really stand out if they are deployed to production, not stuck the proof-of-concept stage. Cloud platforms can be overwhelming if you didn't use them before, but usually, there is a simple solution that will fit your needs. I can help you find that.\n\n- **Computer vision**: Most of my Deep Learning work has been done on Computer Vision, as it interests me the most. I'd be happy to guide you through a CV project.\n\n- **Code reviews**: A second set of eyes helps even the most experienced developers. Especially early in your coding journey, feedback on your code is very important. I can give you advice how to structure it, make it more human-readable, how to write proper docs and unit tests, or how to make it more efficient.\n\n- **Mock interviews**: I can play the role of the interviewer, so you can practice how to present your project or yourself.\n\n### You are probably better off with a different mentor if\n- The main thing you are looking for is **introductions**. I worked at several startups and I know people who are hiring engineers or will hire engineers in the future, but if you are looking for inside contacts at big tech companies like Google or Tesla, you can probably find a better mentor.\n- You are looking for an **NLP expert**. As it's outside of my main interests, I spent little time working with NLP and have limited experience.", "isFormerMentee" : true }, { "_id" : "LTdP2ggLysMyiqMzX", "linkedInUrl" : "https://www.linkedin.com/in/abdullahirfan/", "lastName" : "Irfan", "firstName" : "Abdullah", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @ Loblaw", "domainFeatures" : [ "retail", "healthcare", "telecom" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "analytics" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "mockInterviews", "networking", "codeReview" ], "readme" : "### About me\n4 years of hands on experience in the field of analytics from data engineering to machine learning based solutions.\nCurrently: Data Scientist @Loblaw \n### What I expect from mentees\nI am looking for mentees that have a hands on experience with python & SQL at the very minimum and who can commit 10-12 hrs / week. I would first like to assess what sort of role is the mentee passionate about, and what sort of role in the industry would be a best fit for them. I will work with them to get that role as I have hands on experience with end to end analytics projects across various industries.\n\nI am however, specially interested in mentoring someone who would like to get a deep rooted knowledge about the ML algorithms- from supervised, unsupervised, as well as in deep learning algorithms. Would be open to NLP based algorithms/projects as well. Bonus from my end is that I frequently take Data Scientist interviews so I know what sort of questions are asked in the industry.", "isFormerMentee" : false }, { "_id" : "DEHHrgkD869CmqDiG", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "domainFeatures" : [ "finance", "consulting" ], "technicalFeatures" : [ "timeSeries", "nlp", "unsupervised" ], "linkedInUrl" : "https://www.linkedin.com/in/nateshbabu/", "lastName" : "Arunachalam", "firstName" : "Natesh", "locationString" : "New York, NY, USA", "readme" : "### About me\nModel Review Group @JPMorgan Chase; reviewing and approving ML models at JPMorgan before they're deployed in production \n### What I can help with\nModel review, data engineering and data annotation, time series analysis", "isFormerMentee" : false }, { "_id" : "hB22Jh4Wymivumht5", "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "domainFeatures" : [ "finance", "travel", "virtualReality" ], "technicalFeatures" : [ "dataScience" ], "lastName" : "Vachiramon", "firstName" : "Pithawat Tan", "locationString" : "San Francisco, CA, USA", "currentRole" : "Senior Data Scientist @ Oculus", "linkedInUrl" : "https://linkedin.com/in/tanvach", "gitHubUrl" : "https://github.com/tanvach", "readme" : "### About me\nEducation:\n- Communications Engineering PHD (Oxford)\n- Financial Engineering MSc (UCLA).\n\nPrevious occupations:\n- Data Scientist (Airbnb): business travel (modeling), China growth (analytics), experiences (search ranking).\n- Data Scientist (Oculus): spatial ai (modeling and analytics). \n### What I expect from mentees\nFrom my past experience, I've seen new data scientists have wrong expectation of what's needed in the industry. I'm hoping to work with a mentee to align their interests with Silicon Valley / bay area. Ideally the mentee has background in technical field (STEM, finance, economics) and has some experience with self directing their work. I'm happy to provide realistic mock interviews, one-on-one calls and brainstorming on choosing a project.", "isFormerMentee" : false }, { "_id" : "2nXmPrTBg2Fv4eNu7", "lastName" : "Ng", "firstName" : "Rocio", "linkedInUrl" : "https://www.linkedin.com/in/rociong/", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist @LinkedIn", "domainFeatures" : [ "edtech", "dataForGood", "saas" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "gitHubUrl" : "https://github.com/rociosng", "readme" : "### About me\nI am currently a Data Scientist at LinkedIn working on Product Analytics for Linkedin Talent Solutions. I work on the **Recruiter** Product and leverage data and metrics for understanding how our users are engaging with the product and how we can improve their experience. Previously, I was a Data Scientist as a small Ed-Tech Startup where I completed projects spanning building data pipelines, modelling, analytics, and reporting. In addition to my day job, I mentor budding data scientists at Code for San Francisco and the Insight Data Science Fellowship Program (Summer 2015 Alum). \n \n### What I expect from mentees\nI expect mentees that can commit to meeting at least once a week (~1 hour), communicate regularly through slack and email, and spend considerable amount of time each week on addressing their skill gaps through coursework or projects. I will help you stay organized, on-track, and strategize how you spend your time. **I work best with mentees who are interested in generalist Data Science roles and/or Product/Business focused roles, and those that already have a working foundation of analytics skills.**. If you are interested in more Machine Learning/Deep Learning Engineer type roles I will not be the best mentor for you.\n\n### What I can help with\n* Areas: Inferential statistics, Exploratory data analysis, Machine Learning Fundamentals, Data Visualization, Soft Skills, Computer Science Fundamentals, Product Analytics, A/B Testing\n* Tools: R, Python, SQL, Spark\n* Job Search: Resume, Linkedin profile, Interview prep, Mock Interviews\n\nFor a sense of what I do in my day job and philosophies in the data science industry and job searching check out my podcast interview: https://towardsdatascience.com/data-science-and-product-management-at-linkedin-92a3433cdd6c\n\nProject Write-ups from past/current mentees:\n- https://towardsdatascience.com/predicting-changes-in-the-zillow-home-value-index-by-zip-code-15ded5dcd885\n- https://towardsdatascience.com/friendshipify-a-playlist-generator-for-friends-f79297f08b03\n\n### If you are Interested in working with me\n\nSend me a message and be sure to include:\n- A bit about yourself and your background and include any relevant coursework/projects you have worked on.\n- Why you are interested in a career in Data Science, what you hope to gain from this mentorship, and what roles you are potentially interested in pursuing.\n- Any other details you think will be helpful or you would like me to know!", "isFormerMentee" : false }, { "_id" : "nkTqQEtT3wrxuCtCT", "domainFeatures" : [ "finance", "realEstate", "sports" ], "technicalFeatures" : [ "dataScience", "analytics", "dataEngineering" ], "linkedInUrl" : "https://www.linkedin.com/in/philglazer/", "lastName" : "Glazer", "firstName" : "Phil", "locationString" : "San Francisco, CA, USA", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "gitHubUrl" : "https://github.com/philglazer", "websiteUrl" : "https://pglazer.com/", "currentRole" : "Data Scientist at Sundae", "isFormerMentee" : true }, { "_id" : "TiuB75Bn7Mfdu6uzf", "linkedInUrl" : "https://www.linkedin.com/in/indrani-gorti-b48bb114/", "lastName" : "Gorti", "firstName" : "Indrani", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Manager@CIBC", "domainFeatures" : [ "finance", "telecom", "software" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "projects", "oneOnOneCalls" ], "technicalFeatures" : [ "dataScience", "analytics", "dataEngineering" ], "readme" : "### About me\nIndrani is a polyglot with experience in data engineering and data science, where she has helped solve business problems. Her work has involved end to end projects from data analysis to modelling, including user interactions and usage logs and building software applications.", "isFormerMentee" : false }, { "_id" : "nj6quqTmPX2rWZTQB", "linkedInUrl" : "https://www.linkedin.com/in/jatin-malhotra/", "lastName" : "Malhotra", "firstName" : "Jatin", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Engineer | Mentor | Startup Advisor", "domainFeatures" : [ "finance", "eCommerce", "healthcare" ], "technicalFeatures" : [ "productionization", "dataEngineering", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking" ], "readme" : "### About me\nEnjoys designing, building, and deploying machine learning solutions as an end-to-end AI product on cloud platforms.\n\nBuilt Data Science capabilities from the ground up at AI startups as well as fortune 250 companies. \n\nMentor at Next AI which is an accelerator and founder development program for early-stage AI startups\n\nStrong computer science fundamentals with 10+ years of industry experience in implementing data-driven solutions.\n\n### What I can help with\n\nI help aspiring data scientists to transition into machine learning/data science by providing one-to-one mentorship on technical topics and industry best practices including data science, data engineering, and cloud computing. \n\nI've been fortunate to work with some great mentees, many of whom are now professional data scientists/ data engineers themselves, working at companies like Deloitte, Yahoo, SurveyMonkey, Informatica.\n\n\n### Mentorship Structure:- This is only a high level and changes per needs.\n\n1. Portfolio enhancement guidance(gitHub, website, blogs, resume etc)\n2. End to End Data Science/Machine Learning project including deployment \n3. Practical Walkthrough of the Cloud platform's AI resources (AWS and/or GCP).\n4. Software Engineering, and Data Engineering best practices and tools exposure \n5. Live screen sharing coding sessions (Python and SQL)\n6. Interview Preparation including mock interviews", "gitHubUrl" : "https://github.com/jmalhot", "websiteUrl" : "https://www.jatin-malhotra.com/", "isFormerMentee" : false }, { "_id" : "35bdPN4z2Tf8zWKEd", "linkedInUrl" : "https://www.linkedin.com/in/shuyanmei/", "lastName" : "Mei", "firstName" : "Shuyan", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist@Scotiabank", "domainFeatures" : [ "finance", "healthcare", "consulting" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "codeReview", "projects" ], "technicalFeatures" : [ "dataScience", "analytics", "unsupervised" ], "readme" : "### About me\nData Scientist@Scotiabank, Biostatistician turned data scientist \n### What I expect from mentees\nI'm looking for mentees that have some familiarity with Python(sklearn, numpy, pandas) and willing to commit > 10 hrs per week on Data Science project or self-learning. I will provide regular one-on-one meetings, mock interviews, code review. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "rd5tJG9w8ykeZHjtb", "linkedInUrl" : "https://www.linkedin.com/in/rkamalf/", "lastName" : "Fakharzadeh", "firstName" : "Romtean", "locationString" : "San Francisco, CA, USA", "currentRole" : "Machine Learning Engineer @ Uber", "domainFeatures" : [ "healthcare", "research", "transportation" ], "technicalFeatures" : [ "dataScience", "analytics", "dataEngineering" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls" ], "readme" : "### About me\nCurrently a Machine Learning Engineer at Uber working on NLP projects related to catalog enrichment and product canonicalization. I was previously a Data Scientist at Postmates working on targeted incentives and prior to that a Data Scientist at Roche working on protein modeling.\n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python, sklearn and familiarity with torch or tensorflow, and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in improving upon your analytical and modeling skills. I have experience across the data science life cycle and can help provide guidance and support wherever I can.", "isFormerMentee" : false }, { "_id" : "wmJg4NEv8mZGvY34s", "linkedInUrl" : "https://www.linkedin.com/in/sdsuo/", "lastName" : "Suo", "firstName" : "Simon", "locationString" : "Toronto, ON, Canada", "currentRole" : "Research Scientist", "domainFeatures" : [ "selfDriving", "finance", "research" ], "technicalFeatures" : [ "deepLearning", "computerVision", "unsupervised" ], "mentorshipOfferings" : [ "projects", "codeReview", "networking", "oneOnOneCalls", "mockInterviews" ], "readme" : "### About me\nResearch Scientist@Uber ATG, Machine Learning PhD@University of Toronto, formerly Facebook, LinkedIn, Citadel, Bloomberg \n### What I expect from mentees\nI’m looking for mentees with strong STEM background who are interested in breaking into machine learning engineering/research. I can provide support for general software industry, and self driving in particular. I am particularly interested in helping with academic to industry transition, and research career pivot via AI residency programs.", "isFormerMentee" : false }, { "_id" : "AZFwjoyp6dNzw88Si", "linkedInUrl" : "https://www.linkedin.com/in/edward-terry/", "lastName" : "Terry", "firstName" : "Ed", "locationString" : "Los Angeles, CA, USA", "domainFeatures" : [ "robotics" ], "technicalFeatures" : [ "computerVision", "deepLearning" ], "currentRole" : "Robotics Research Engineer @ L5 Automation", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "## Introduction \nI am interested in helping mentees navigate career transitions into the world of computer vision, a process I went through formal graduate studies and as a mentee here in 2019. I still use the techniques I learned during my mentorship on the job!\n\n## My story\nI am currently working (remotely) as a Robotics Research Engineer at an agricultural robotics startup, where I am responsible for implementing key aspects of the vision pipeline for autonomous fruit harvesting. My recent experience has involved implementing computer vision pipelines from scratch to be deployed on field robots. \n\n## What I have to offer as a mentor\n- Guidance in planning and executing a well-scoped computer vision project which will get the attention of hiring managers\n- Sharing experience of the job search and interview process\n- Helping you reach clarity about your own career and lifestyle goals and offering accountability to achieve these goals", "isFormerMentee" : true }, { "_id" : "89ggpgt3h4pScrZuX", "linkedInUrl" : "https://www.linkedin.com/in/renee-jia/", "lastName" : "Jia", "firstName" : "Renee", "locationString" : "Seattle, WA, USA", "currentRole" : "Software Engineer - Alexa-AI@Amazon", "domainFeatures" : [ "software" ], "technicalFeatures" : [ "nlp", "dataScience", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "### What I expect from mentees\nI'm looking for mentees that are already comfortable with some coding languages and willing to commit >10 hrs per week on the Data Science capstone project. I will provide technical help, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "EKDwMMKwyAdErztgo", "linkedInUrl" : "https://www.linkedin.com/in/eleanorthomaschicago/", "lastName" : "Thomas", "firstName" : "Eleanor", "locationString" : "Chicago, IL, USA", "currentRole" : "Senior Data Analyst @ Doximity", "domainFeatures" : [ "finance", "healthcare", "socialMedia" ], "technicalFeatures" : [ "analytics", "dataScience", "dataEngineering" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "oneOnOneCalls", "projects", "networking" ], "readme" : "### About me\nSenior Data Analyst @ Doximity (healthcare professional network); former Quant Researcher in HFT \n### What I expect from mentees\nI'm looking for mentees who are already comfortable with Python and the data science stack (including pandas and likely sklearn), self-motivated and ready to commit at least 10 hrs per week toward building a Data Science portfolio project. An ideal fit would be someone passionate about data and looking for support to build a strong portfolio and interviewing skills, eager to jump into a career in Data Science & Analytics. I will provide one-on-one calls, code review, and networking/interviewing tips and practice. I especially love helping people make career changes, so if you're self-taught, you know you've got the skills and just need some guidance with building the portfolio to prove it, let's talk!", "gitHubUrl" : "http://www.github.com/eleanorthomas", "isFormerMentee" : false }, { "_id" : "8ZEDJbeX7qMC9AR62", "domainFeatures" : [ "healthcare", "consulting", "media" ], "technicalFeatures" : [ "dataScience", "analytics" ], "linkedInUrl" : "https://www.linkedin.com/in/robinleoknauth/", "lastName" : "Knauth", "firstName" : "Leo", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist", "gitHubUrl" : "https://github.com/robinleoknauth", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### Hello! \n\nMy name is Leo and I am a Data Scientist who is currently working at Avanade, a Microsoft and Accenture joint venture.\nI am a Sharpest Minds mentee myself so I have completed the journey that you are about to do from end to end.\n\nI am an open-minded, approachable data scientist who loves teaching. Currently I would call myself a data science generalist and am learning something new every day. \nI teach and train data scientists at Avanade and am particularly passionate about Machine Learning. I am also the lead technical interviewer for hiring data scientists at Avanade, which might come in handy when getting you job-ready!\nI live in San Francisco, and I am originally from Germany.\n\nI have a very direct communication style. What you see is what you get. If you need direct feedback, I will provide it, but I am very supportive too. If I don't know something I will tell you just that, and do research myself to help you. \n\n\n### What I expect from my mentees\n\n**10 to 20 hrs of work per week**. More is better. \n**Open and direct communication**. We are all adults. If you can't make a meeting or a deadline just tell me and we will arrange a solution. \n**Be prepared** for meetings, prep interviews, coding challenges. I will work hard to help you, and I expect you to work hard as well. \n\n\n### What I can help you with\n\n**Prep interviews**. I interview Data Scientists ranging from entry level positions to senior managers at my current job. I love it. \n**Code reviews**. I code a lot. I work with a ton of different people, and read a ton of code. Mostly Python and Pyspark, but there is the occasional C#, C++ and - *if really really necessary*- JS. \n**Projects**. As a consultant I hop from project to project and can work under pressure. I will be consulting you in a way too. \n**Presentations**. This is probably more important in some jobs than in others. I regularly present in front of audiences ranging from clients to wild data scientists. Good presentation skills will help in job interviews too. A lot. \n**Networking**\n\n\n\n### You are probably better off with a different mentor if \n\n**You are looking for a computer vision expert**. Sorry, still learning that stuff myself. \n**You are looking for an NLP expert**. I know the basics well enough and have successfully delivered a couple of NLP projects, but I wouldn't call myself an expert in NLP. \n\n\n\nFun Facts about me: \nI am a trivia enthusiast, which might have to do with an unhealthy obsession with Wikipedia.\nI have lived in a dozen different countries and speak 6 languages.\nI love potatoes. Huge Terry Pratchett and hard SciFi Fan.", "isFormerMentee" : true }, { "_id" : "Zi53jfwyP2b4S2CFh", "linkedInUrl" : "https://www.linkedin.com/in/jianwu-xu-0830677/", "lastName" : "Xu", "firstName" : "Jianwu", "locationString" : "Princeton, NJ, USA", "currentRole" : "Researcher@NEC Labs", "domainFeatures" : [ "healthcare", "software", "research" ], "technicalFeatures" : [ "anomalyDetection", "nlp", "dataScience" ], "mentorshipOfferings" : [ "projects", "codeReview", "mockInterviews", "networking" ], "readme" : "### About me\nResearcher@NEC Labs in Princeton NJ. I have been working on time series analysis, unstructured text/computer logs analysis, medical imaging analysis, documents classification, etc. Have 10+ years of industrial experience with multiple publications and patents. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python, or even Matlab/C++ (but willing to try Python) and willing to commit >10 hrs per week on a full-stack Data Science/Software engineering project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm especially interested in mentoring someone from computer science/math/stats/hard STEM, but would be open to chatting in other cases as well. \n### What I can help with\nend-to-end data science pipeline; latest tools/algorithms working in data science industry.", "isFormerMentee" : false }, { "_id" : "XMCzDqy6rHRWwzN3p", "linkedInUrl" : "https://www.linkedin.com/in/mahtab-maria-kamali-34914425/", "lastName" : "Kamali", "firstName" : "Maria", "locationString" : "Kitchener, ON, Canada", "currentRole" : "Data Scientist @Thomson Reuters", "domainFeatures" : [ "finance", "legal", "research" ], "technicalFeatures" : [ "nlp", "dataScience", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "projects", "oneOnOneCalls" ], "readme" : "### About me\nData Scientist @Thomson Reuters. Formerly with @talkiq (now DialPad) and PiinPoint \n### What I expect from mentees\nWilling/committing to spend 10 hrs on a ML/DS/DL/NLP project.\nComfortable with Python \nPrefer someone with STEM related background but open to chat with others too\nI can walk you through basics as well as advanced methods and approaches.\nI will work with you on a relevant AI-related project\nI will explain complicated concepts in a simple understandable manner", "isFormerMentee" : false }, { "_id" : "4pebftEoYsvMo3khb", "linkedInUrl" : "https://www.linkedin.com/in/andreilyskov/", "lastName" : "Lyskov", "firstName" : "Andrei", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist @Apple", "domainFeatures" : [ "eCommerce", "finance", "software" ], "technicalFeatures" : [ "dataScience", "productionization", "analytics" ], "mentorshipOfferings" : [ "networking", "codeReview", "projects", "oneOnOneCalls" ], "readme" : "### About me\nAndrei is a data scientist at Apple. In his current role he built a viewing retention prediction model to optimize performance marketing spend, and supported the launch of Apple's original content streaming service. He holds a bachelor's in Computer Science from Queen's University. \n### What I expect from mentees\nMy philosophy on mentee-mentor relationships is that I should be able to learn as much as you learn from me. With that in mind, I'm looking for a self-motivated mentee who already has a good grasp of Python and SQL. I will help you perfect your data storytelling abilities, clean up your resume, and fill in any technical gaps that are typically probed in an interview. In terms of projects, the focus will be on contributing to open source libraries, writing on Medium, or a quantified self-related project (Something along the lines of this dashboard I've built for myself - https://github.com/Andreilys/personal_dashboard).\n\nIf you're interested, feel free to reach out and let me know your goals, timeline, and what kind of project you'd like to work on from the ones I've listed.", "isFormerMentee" : false }, { "_id" : "8hHd8vLr76hrMfWPx", "linkedInUrl" : "https://www.linkedin.com/in/dan-hoofar-daneshvar-bb890272/", "lastName" : "Daneshvar", "firstName" : "Dan", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @ Equifax", "domainFeatures" : [ "consulting", "customerSupport", "humanResources" ], "technicalFeatures" : [ "dataScience", "analytics", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls" ], "readme" : "### About me\nCurrently, a data scientist at Equifax Canada; \nFormerly, Analytics Manager at BMO; \nHad an insightful experience working on Human Resource data analytics projects; \nPh.D. in theoretical physics; \nPassionate about Teaching and Mentoring, Mountains, and Hiking;", "isFormerMentee" : false }, { "_id" : "zuQ6CSDKvqQuEwMYL", "linkedInUrl" : "https://www.linkedin.com/in/alaabualkheir/", "lastName" : "Abu Alkheir", "firstName" : "Ala", "locationString" : "Ottawa, ON, Canada", "currentRole" : "Director of Analytics @ Lytica Inc.", "domainFeatures" : [ "telecom", "semiconductor", "government" ], "technicalFeatures" : [ "analytics", "visualization", "nlp" ], "mentorshipOfferings" : [ "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nPhD in electrical engineering from Queen's University (2013), followed by a 3-year postdoctoral fellowship at the University of Ottawa and then a master’s degree in innovation management from Carleton University (2018). Worked on a wide range of projects using ML for government clients and SMEs. \n### What I expect from mentees\nI am looking for self-motivated and fast learners with good+ Python skills and a good understanding of ML fundamentals. I am particularly interested in mentees with advanced degrees in electrical engineering, computer science or mathematics. I can provide networking help, project assignment, branding help, and code-reviews. I will also be available for regular one-on-one meetings.", "isFormerMentee" : false }, { "_id" : "cvhJkJ89eLbxpxh6a", "linkedInUrl" : "https://www.linkedin.com/in/bjanota/", "lastName" : "Janota", "firstName" : "Bruno", "locationString" : "Moorestown, NJ 08057, USA", "currentRole" : "Lead Data Scientist at Lockheed Martin", "domainFeatures" : [ "government", "consulting", "healthcare" ], "technicalFeatures" : [ "nlp", "dataScience", "recommenders" ], "mentorshipOfferings" : [ "projects", "networking", "codeReview", "mockInterviews", "oneOnOneCalls" ], "readme" : "### About me\nLead Data Scientist @Lockheed Martin, Data Science Instructor @Lambda School \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, regular one-on-one meetings, and mock interview preparation/feedback (if needed).", "isFormerMentee" : false }, { "_id" : "k5QeDNs9wZCz8kBKq", "linkedInUrl" : "https://www.linkedin.com/in/huizhen-tang/", "lastName" : "Tang", "firstName" : "Joann", "locationString" : "New York, NY, USA", "currentRole" : "Lead Data Scientist @ Torticity", "domainFeatures" : [ "edtech", "legal", "healthcare" ], "technicalFeatures" : [ "nlp", "computerVision", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking" ], "readme" : "### About me\nData scientist with an academic background. \n### What I expect from mentees\nI'm looking for mentees that are willing to commit >10 hrs per week on learning and practicing data science relevant skills or work on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and help building your model development and productionization skills.", "isFormerMentee" : false }, { "_id" : "K2goypujQqp4ycqJB", "linkedInUrl" : "https://www.linkedin.com/in/suneilshrivastav/", "lastName" : "Shrivastav", "firstName" : "Suneil", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data scientist @Loopio", "domainFeatures" : [ "finance", "telecom", "software" ], "technicalFeatures" : [ "analytics", "visualization", "dataScience" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews" ], "readme" : "### About me\nData scientist @Loopio, formerly @Visa and @Bell \n### What I expect from mentees\nI'm looking for mentees that need help with interviews and business application of data science. I can help guide your analysis path and talk through your analysis, its effects and your recommendations through regular one-on-one meetings.", "isFormerMentee" : false }, { "_id" : "MqC5e4z9vL7XzaS5u", "linkedInUrl" : "https://www.linkedin.com/in/haya-toumy/", "lastName" : "Toumy", "firstName" : "Haya", "locationString" : "Austin, TX, USA", "currentRole" : "Data Scientist @Resideo", "domainFeatures" : [ "software" ], "technicalFeatures" : [ "dataScience" ], "mentorshipOfferings" : [ "projects", "mockInterviews" ], "readme" : "### About me\nData Scientist @Resideo. M.Sc. in Applied Mathematics. B.Sc. in Mathematical Statistics. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python, matplotlib, and sklearn, understand Machine Learning and modeling basics, that is, have already took a (few) courses online, and are willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in understanding how to select the right model and assess its performance, and have an intro to Big Data. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "oevckMt9SkgMHDRxB", "lastName" : "Nada", "firstName" : "Omar", "locationString" : "Toronto, ON, Canada", "currentRole" : "Microsoft - Applied Scientist II", "linkedInUrl" : "https://www.linkedin.com/in/omar-nada-100052125/", "domainFeatures" : [ "finance", "retail", "cybersecurity" ], "technicalFeatures" : [ "recommenders", "nlp", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nApplied Scientist at Microsoft working on personalization of financial data. MSc in Machine Learning with concentration in Recommender Systems. Working currently on implementing NLP techniques in recommendation engines. 2 years of teaching experience as a TA in Big data and analytics at Ryerson University \n### What I expect from mentees\nI am looking for mentees that are willing to put in at least 15 hours/week with basic python knowledge. Do assigned tasks and have a clear vision of what the eventual goal is. Everything else could be worked on together \n### What I can help with\nNetworking and Interview preparation for Data Science and Machine Learning jobs\nHelping in research and eventually publishing\nImproving data science skills", "isFormerMentee" : true }, { "_id" : "CzJfKRgRd9nyyg6Yi", "linkedInUrl" : "http://linkedin.com/in/jagraj-gill", "lastName" : "Gill", "firstName" : "Jagraj", "locationString" : "Toronto, ON, Canada", "technicalFeatures" : [ "dataScience", "productionization", "analytics" ], "domainFeatures" : [ "government", "healthcare", "consulting" ], "currentRole" : "Data Scientist", "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "codeReview", "resumeAndLinkedInReview" ], "readme" : "Hello prospective mentees! \n\nMy name is Jagraj Gill, and I'm a Toronto native who is currently working as a Data Scientist for Clarivate PLC. My past experiences have taken me from full stack developing, to data engineering, and now data science. I have worked in the public and private sector, in startup environments, and established companies. \n\nI believe that my breadth of industry and candidate interviewing experience puts me in the optimal position to provide a mentorship program that is not only aligned with current industry standards, but challenging (read rewarding), and tailored to fit your requirements. \n\nSome of the areas that I can assist with: \n\n1) Resume building\n2) Mock interviews\n3) End-to-end DS project assignments\n4) Subject/code review\n\nRequirements for mentees: basic programming knowledge (Python/R), basic grasp of statistics (frequentist/Bayesian), linear algebra, and a minimum weekly dedication of 10 hours to the mentorship. \n\nFeel free to message me and I'll be more than happy to answer any questions that you may have.\n\nAll the best on your DS adventures! - Jagraj", "isFormerMentee" : true }, { "_id" : "KKx2zoQrmqebivGuq", "linkedInUrl" : "https://www.linkedin.com/in/ahwkuepper/", "lastName" : "Kupper", "firstName" : "Andreas", "locationString" : "Cambridge, MA, USA", "currentRole" : "Machine Learning @ Apple", "domainFeatures" : [ "eCommerce", "research", "consulting" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "codeReview", "projects" ], "readme" : "### About me\nData Science Manager at QuantCo in Cambridge, MA, with a background in astrophysics. Former Hubble Fellow, Insight Data Science Fellow. Angel Investor, Technical Advisor for several portfolio companies. \n### What I expect from mentees\nI have helped dozens of students find jobs in data science, data engineering, and analytics. Some minimum requirements: I need you to be proficient in either Python or R, with at least one portfolio project that you can demo to me. If you're aiming for a data science role (versus a data analyst or data engineering role), you have to have a solid understanding of statistics. I will not teach you statistics, but I can give you an insider view on how the recruiting processes at tech companies work, what things to say and do, and what to keep to yourself. I can guide you in building a door-opening showcase project, and help you network to get a foot in the door. My former mentees have made it into some of the most sought-after roles at companies in big tech, health, and defense.", "isFormerMentee" : false }, { "_id" : "QqfwiDWznAwwkbPjv", "linkedInUrl" : "https://www.linkedin.com/in/christopherwetherill/", "lastName" : "Wetherill", "firstName" : "Chris", "locationString" : "Columbus, OH, USA", "currentRole" : "Lead ML Engineer @Progressive Insurance", "domainFeatures" : [ "insurance", "healthcare", "research" ], "technicalFeatures" : [ "productionization", "deepLearning", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nLead ML Engineer @Progressive. Formerly at State Auto / SafeAuto / Cleveland Clinic. PhD dropout from Virginia Tech. Dog dad. Organizer of Columbus Data Science Meetup.\n\n### What I expect from mentees\nI'm looking forward to working with folks who have some programming experience (Python's mostly my jam) to build a great full-stack data science project, from data acquisition all the way through to productionalization. Along the way I'll help with code review, model design, deployment, and close to anything else in between. We'll have regular 1:1 meetings to check in, work through problems, and geek out over statistics every now and then.", "gitHubUrl" : "https://github.com/wetherc", "isFormerMentee" : false }, { "_id" : "5T6k8Sfb7bBF7Xni9", "linkedInUrl" : "https://www.linkedin.com/in/devayanip/", "lastName" : "Pawar", "firstName" : "Devayani", "locationString" : "Phoenix, AZ, USA", "domainFeatures" : [ "healthcare", "semiconductor", "research" ], "technicalFeatures" : [ "dataScience", "computerVision", "reinforcementLearning" ], "currentRole" : "Data Scientist", "gitHubUrl" : "https://github.com/devayanipowar", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "https://devayanipowar.github.io/", "readme" : "## About me: \nI am a Data Scientist with Deloitte’s Applied AI team working on predictive and Machine learning solutions. I am passionate about exploring various machine learning use cases and have implemented solutions for use cases ranging from satellite imagery, semiconductor manufacturing industry to Space situational awareness. I have previous experience working with data science teams at Micron & Accenture implementing computer vision solutions. I am also passionate about sharing my experience with those who are trying to break into DS and learning on the way.\n\n## How can I help: \n- I have experience finding a job in the *current job market* and various networking opportunities.\n- **Resources** for interview practice and mock interviews.\n- End to end Data Science **project** for portfolio.\n- *Communication tactics* that I found most useful.\n- *Implement* everything you have been reading about Data Science/ Machine Learning.\n- I have successfully documented and tried every way to find a DS job.\n\n## What can you do:\n- Show basic coding skills.\n- Dedicate at least 10 hrs/week \n- Ask questions ( Very Important!)\n- Implement actual projects!\n- Be proactive\n\nPS: I was skeptical about finding the right mentor hence know the stress, ping me if you have any questions about the process.\n[Connect here](https://www.linkedin.com/in/devayanip/)", "isFormerMentee" : true }, { "_id" : "iMqZYESKGobdYabzk", "firstName" : "Andy", "lastName" : "Seow", "linkedInUrl" : "https://www.linkedin.com/in/kokleongseow/", "locationString" : "New York, NY, USA", "websiteUrl" : "http://kseow.com/", "currentRole" : "Senior Machine Learning Engineer @American Express", "domainFeatures" : [ "finance", "healthcare", "research" ], "technicalFeatures" : [ "dataEngineering", "dataScience", "timeSeries", "deepLearning", "nlp", "computerVision", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "# Previous Hired Mentees\n- Rajesh Signh -> Machine Learning Engineer @ Cultivate\n- Parth Shah -> Software Engineer @ Facebook\n- Lawrence Guo, PhD -> Machine Learning Scientist @ SKids\n- Pranav Thilagaraj -> Senior Data/Product @ Bodhala -> @ Amazon\n- Thomas Linsakie -> SWE @ JobTarget\n- Jason Wong -> Data Engineer @ Walmart Labs\n- Sabri Rafi -> Data Engineer @ KPMG\n- David Roberts -> Data Analyst@ Magna\n- Michal Llyskawinski -> Machine Learning Engineer @ Rosetta Analytics\n\n# Contact\nIf you're interested, please email me directly at **kseow@hey.com** for a quicker response. Please send a brief bio, what you're looking to get out of this mentorship, any courses/bootcamps you've taken, and your favorite book :)", "isFormerMentee" : false }, { "_id" : "YifZHMLipf2xupi9g", "linkedInUrl" : "https://www.linkedin.com/in/gauravgks/", "lastName" : "Kumar Singh", "firstName" : "Gaurav", "locationString" : "Windsor, ON, Canada", "currentRole" : "Autonomous Vehicles Business Strategy", "domainFeatures" : [ "selfDriving", "transportation" ], "technicalFeatures" : [ "deepLearning", "computerVision", "dataScience" ], "mentorshipOfferings" : [ "networking", "oneOnOneCalls", "mockInterviews" ], "readme" : "### About me\nSince December 2016, Gaurav has been working at Ford’s Autonomous Vehicles (AV) division. He initially started as a ML researcher pushing the AI and related innovation ahead. About a year back, he joined the business strategy team to participate and influence in launching/scaling of AV services. \n### What I expect from mentees\nI am looking for motivated and go-getter mentees who are skilled in Python and skLearn and wish to get into ML/Data Science roles. Apart from guiding on the projects, I can provide mock interviews as well as utilize my network to place mentees in interesting jobs.", "isFormerMentee" : false }, { "_id" : "ZwEwMY93BAX9GnMCy", "linkedInUrl" : "https://www.linkedin.com/in/reza-katebi/", "lastName" : "Katebi", "firstName" : "Reza", "locationString" : "Athens, GA, USA", "currentRole" : "Senior Data Scientist @Honeywell", "domainFeatures" : [ "robotics", "research", "manufacturing" ], "mentorshipOfferings" : [ "projects", "mockInterviews", "oneOnOneCalls" ], "technicalFeatures" : [ "computerVision", "dataScience", "deepLearning" ], "readme" : "### About me\nI am currently a Senior Data Scientist at Honeywell. I have done projects ranging from robotic perception and the Internet of Things to Astronomical object recognition. My Ph.D. is about activity around Super Massive Black-Holes and application of Deep Learning in Astronomy. When it comes to data, I truly believe in storytelling. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "fDTFYBmE76Rp2t8yr", "linkedInUrl" : "https://www.linkedin.com/in/leyuanyu/", "lastName" : "Yu", "firstName" : "Leyuan", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @ Coursera | ex-DS @ Deloitte, Manulife", "domainFeatures" : [ "consulting", "insurance", "edtech" ], "technicalFeatures" : [ "dataScience", "nlp", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking", "resumeAndLinkedInReview" ], "readme" : "### About Me:\nWith 50+ successful mentees now thriving in the data analytics industry, I am a senior Data Scientist currently working at Coursera. My previous experience includes roles at Manulife Advanced Analytics, specializing in NLP, and Deloitte Omnia as a Data Scientist. My diverse background allows me to understand the ideal candidate profiles for various industries/companies and how you can best prepare for them.\n\n### Seeking Dedicated Mentees:\nI am searching for committed individuals eager to land a job in the data analytics field (data analyst, data scientist). Ideal mentees will have already invested time in learning, hold a relevant degree, or have completed several MOOCs.\n\n### What You Can Expect from Me:\nI collaborate with different professionals to cover the various needs from different job roles. As a team, we will provide comprehensive support tailored to your needs. What we are unfairly good at:\n- Help you get hands dirty on industry-level projects provided by companies we partner with\n- Networking Opportunities (a team of mentors + a larger team of alumni)\n\n### Discover Success Stories:\nVisit my website to explore past mentee success stories, including their current roles, LinkedIn profiles, and testimonials. https://www.bravecareer.io/success-stories\n\n### Next Steps:\n1. Send me a message, and we'll schedule an introductory meeting. Follow up with a quick assessment (free mock interview).\n2. I will develop a personalized learning plan and proposal, including an ISA rate.\n3. If you're satisfied with the plan, I will send the official proposal.\n\nRemember, you can cancel without any obligations within 14 days of signing the proposal. I look forward to connecting with you!", "isFormerMentee" : false }, { "_id" : "RpoAtNsGJggihJ4Sh", "linkedInUrl" : "https://www.linkedin.com/in/mtorabirad", "lastName" : "Torabi Rad", "firstName" : "Mahdi", "locationString" : "Toronto, ON, Canada", "technicalFeatures" : [ "unsupervised", "computerVision", "deepLearning" ], "domainFeatures" : [ "selfDriving", "robotics", "research" ], "currentRole" : "AI Postdoctoral Research Scholar", "gitHubUrl" : "https://github.com/mtorabirad", "isFormerMentee" : true }, { "_id" : "ErGikPnSuPmKoqXuY", "linkedInUrl" : "https://www.linkedin.com/in/vincent-david-2373a214/", "lastName" : "David", "firstName" : "Vincent", "locationString" : "New York, NY, USA", "currentRole" : "AI Team Lead @ HBO", "domainFeatures" : [ "finance", "eCommerce" ], "technicalFeatures" : [ "productionization", "dataScience", "dataEngineering" ], "mentorshipOfferings" : [ "networking", "oneOnOneCalls", "codeReview" ], "readme" : "### About me\nSeasoned Data Scientist, Engineer, Business Leader, with an extensive, quantitative academic background I built several award-winning engineering organizations. Corporate Fintech experience with at a startup. \n### What I expect from mentees\nI have good experience coaching mentees looking to cross from a strong engineering background into a quantitative, data-driven role. I also like to work with academics, who are looking to make a transition into the private sector.", "isFormerMentee" : false }, { "_id" : "QryQjmJhizkLHPrfS", "linkedInUrl" : "https://www.linkedin.com/in/dimagor/", "lastName" : "Gorenshteyn", "firstName" : "Dmitriy", "locationString" : "New York, NY, USA", "currentRole" : "Lead Data Scientist @ Memorial Sloan Kettering", "domainFeatures" : [ "healthcare", "finance", "research" ], "technicalFeatures" : [ "dataScience", "productionization", "nlp" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking", "resumeAndLinkedInReview" ], "readme" : "### About me\nLead Data Scientist in the Strategy & Innovation department at Memorial Sloan Kettering Cancer Center. Develops predictive models for programs aimed at improving patient care.", "isFormerMentee" : false }, { "_id" : "HwPn9DqXuBLm2SvLb", "domainFeatures" : [ "research", "software", "socialMedia" ], "technicalFeatures" : [ "dataScience", "recommenders", "visualization" ], "linkedInUrl" : "https://www.linkedin.com/in/saimmehmoodgul/", "lastName" : "Mehmood", "firstName" : "Saim", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning | Data & Software Engineer", "gitHubUrl" : "https://github.com/saimmehmood", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "https://saimmehmood.com/", "readme" : "## Hello!\n\nMy name is Saim and I was working as an **MLOps Engineer** at **Badal.io**, a Google Cloud Platform (GCP) consulting and services company. I come from an academic background and was working as a researcher at the Data Mining Lab, Lassonde School of Engineering, York University.\n\nI am a SharpestMinds mentee myself so I have completed the journey that you are about to begin. If you come from academia, I will have a special preference for you.\n\nI am an open-minded, approachable data person who loves teaching. Currently, I would call myself a machine learning generalist as am learning something new every day.\n\nI have a very direct communication style. If I don't know something I will tell you just that and do the research myself to help you.\n\n### What I expect from my mentees:\n\n- 5 to 10 hrs of work per week. More is better.\n- Open and direct communication. We are all adults. If you can't make a meeting or a deadline just tell me and we will arrange a solution.\n- Be prepared for meetings, prep interviews, and coding challenges. I will work hard to help you, and I expect you to work hard as well.\n\nLastly, **take it easy** - job hunting is a time taking process and very different from studying at school.", "isFormerMentee" : true }, { "_id" : "9HTGDSijQQjcJLHCT", "linkedInUrl" : "https://www.linkedin.com/in/kishore-kesanapally-9307487/", "lastName" : "Kesanapally", "firstName" : "Kishore", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Science/Analytics/Data Strategy/Data Governance Manager/Architect", "domainFeatures" : [ "finance", "retail", "digitalMarketing" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "networking" ], "readme" : "### About me\nMy role is about Lead AI/Data Science/Data Analytics Product strategy,Road Map and Platform Development and explore new tools in AIML/Data Analytics/Science stack.Hiring and mentoring early talent. \n### What I expect from mentees\nI am looking for mentees who are early talent and who have been in technology industry from many years and like to jump in to Data Science and AIMl career.I can help on data Science/Analytics project and do code reviews and guide and coach Data Science project flows and Data Science/Analytics enterprise strategy and Product management and AWS cloud strategy.I have experience on Financial/Retail/Marketing/Semi Conductor Domains,i can share the Enterprise Data Strategy,Data Governance,Analytics and Science strategy on each domain.", "isFormerMentee" : false }, { "_id" : "WZw52usCLiDbn3YNe", "linkedInUrl" : "https://www.linkedin.com/in/jberkowitz01/", "lastName" : "Berkowitz", "firstName" : "Joey", "locationString" : "Chicago, IL, USA", "domainFeatures" : [ "saas", "digitalMarketing", "insurance" ], "technicalFeatures" : [ "dataScience", "analytics", "dataEngineering" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "gitHubUrl" : "https://github.com/jberkowitz89/", "readme" : "# Hi, I'm Joey!\n\nI'm an Analytics Engineer working at HealthJoy, a startup in the healthcare technology space. I'm a former SharpestMinds mentee myself, so I'm very familiar with what it's like to go through the data science job search. I also know how valuable SharpestMinds was to my career journey, and I want to pass along some of that knowledge!\n\nI'm a Full-Stack Data Analyst, with extensive experience in the [Modern Data Stack](https://blog.getdbt.com/future-of-the-modern-data-stack/). I have experience with data modeling and transformation, machine learning, statistics and analytics, and am intimately familiar with the tooling necessary to accomplish those tasks (SQL, Python, cloud data warehouses, and others). I'm excited to teach others about the plethora of data and data science skills that you don't learn in bootcamps or Master's programs - things like git & version control, python environments, command line usage, and more.\n\nIf you can't tell already, I'm enthusiastic about data analytics & data science. I'm an open and honest communicator, and willing to provide feedback and help others improve not just their data science and technical skills, but help with interviewing and other soft skills necessary in the job hunt.\n\nIf we're to work together, expect to put in at least 10-15 hours per week. I can be flexible around meetings and scheduling, but I expect you to come prepared to our meetings. I can say from experience, the more you put into a mentorship, the more you'll get out of it. \n\n## What I can help you with:\n- **Interview Prep**\n- **Project Planning**\n- **Code Review**\n- **Presentation Skills**\n- **Data Science & Analytics**\n\n## What I probably can't help with:\n- **Deep Learning, Computer Vision** \n- **NLP**\n- **Machine Learning Engineering**\n\nIf you're looking for an entry level Data Scientist, Data Analyst or Analytics Engineering role, feel free to reach out!", "isFormerMentee" : true }, { "_id" : "KRyX9jfXDCyDkDwN5", "linkedInUrl" : "https://www.linkedin.com/in/lee-schmalz/", "lastName" : "Schmalz", "firstName" : "Lee", "locationString" : "Chicago, IL, USA", "domainFeatures" : [ "healthcare" ], "technicalFeatures" : [ "dataScience" ], "currentRole" : "Data Scientist", "gitHubUrl" : "https://github.com/leeschmalz", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\n\nI am a Senior Data Scientist for a bio-tech start-up that works to understand immune response for patients suspected of infection in critical care. I was a SharpestMinds mentee myself and am looking forward to bringing the same incredible experience I had to many others!\n\n### What I can help with\n\nI strongly believe that data science is best learned through hands-on experience. As a mentor, I'd love to help a mentee select a project that interests them and guide them through data science and programming challenges as they arise. I would also work alongside a mentee in some scenarios to simulate the collaborative environment of a data science team. I've had experience hiring data scientists in my position as well, and would offer mentees support in resume building, networking, and interviewing.\n\n### What I expect from mentees\n\nI am looking for someone that will take the reins on a project they are passionate about with dedication to learn and improve their skills.", "isFormerMentee" : true }, { "_id" : "nfodFbqtfQXe47Dpe", "linkedInUrl" : "https://www.linkedin.com/in/milancvitkovic/", "lastName" : "Cvitkovic", "firstName" : "Milan", "locationString" : "Santa Cruz, CA, USA", "currentRole" : "Sr. Machine Learning Researcher at postera.ai", "domainFeatures" : [ "research", "dataForGood", "hardware" ], "technicalFeatures" : [ "deepLearning", "dataScience", "tabular" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nCurrently doing research, eng, and product at PostEra, a YC W20 ML-for-drug-discovery startup. Before that I did ML research at AWS and Caltech focused on applying deep learning to unconventional types of data. And before that I did data science and software eng in East African microsolar. \n### What I expect from mentees\nIf you're a competent coder (in any language) and want to learn machine learning research, data engineering, or data visualization, I'd love to be your mentor. I have several professional-level machine learning research projects and MVPs I'd like to build with you - or I'm happy to be pitched projects! If you can commit >8 hrs per week for at least 6 weeks, I can support you with all aspects of the project (including infrastructure if we need it), help you network, and help you get a job. If you have a background in any hard STEM area, that's a big plus, though not required. Thanks!", "gitHubUrl" : "https://github.com/mwcvitkovic", "websiteUrl" : "http://milan.cvitkovic.net", "isFormerMentee" : false }, { "_id" : "yAaNzLRo3okhSLKwL", "linkedInUrl" : "https://www.linkedin.com/in/jasonmeil/", "lastName" : "Meil", "firstName" : "Jay", "locationString" : "Washington, DC, USA", "currentRole" : "Data Scientist Senior Principal, SA, Program Technical Lead @SAIC", "domainFeatures" : [ "finance", "consulting", "government" ], "technicalFeatures" : [ "dataScience", "deepLearning", "productionization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews", "networking", "codeReview" ], "readme" : "### About me\nI am a Data Scientist Senior Principal and Solutions Architect with SAIC, working as the Data Science Program Technical Lead for a Federal client. I am the bridge between the technical frameworks and mission/business stakeholders. My job is to derive intelligence and drive mission. \n### What I expect from mentees\nI am looking for someone comfortable with being uncomfortable. Someone who loves the math, science and programming, but is ready to learn about how to apply it and become a Data Science unicorn. A Ranconteur who can artfully and masterfully weave the complex technical concepts into a payload digestible to the least technical of end users. Einstein said Genius is making the complex, simple. Lets emulate Einstein together.", "isFormerMentee" : false }, { "_id" : "7CLnc78H4F8LjBzn2", "linkedInUrl" : "https://www.linkedin.com/in/madhuri-maddipatla/", "lastName" : "Maddipatla", "firstName" : "Madhuri", "locationString" : "Burlington, ON, Canada", "currentRole" : "Advanced Analytics Consulting", "domainFeatures" : [ "finance", "healthcare", "consulting" ], "technicalFeatures" : [ "analytics", "anomalyDetection", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "networking", "projects" ], "readme" : "### About me\nContracting with various companies on analytics consulting engagements \n### What I expect from mentees\nLooking for mentees who are passionate and comfortable with basics and looking for the x-factor to crack interviews, demonstrate their skills during interviews and also get deep into their problem solving skills and help them complete any data science problem.\n\nCurrently only accepting \"Pay as you go\" based payment oriented mentees!", "isFormerMentee" : false }, { "_id" : "5L9jgQh39bksMDxff", "linkedInUrl" : "https://www.linkedin.com/in/jeffrey-chrabaszcz-aa340415/", "lastName" : "Chrabaszcz", "firstName" : "Jeffrey", "locationString" : "Pittsburgh, PA, USA", "domainFeatures" : [ "healthcare", "government", "consulting" ], "technicalFeatures" : [ "dataScience", "nlp", "anomalyDetection" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData scientist, PhD Neuroscience, formerly govt SaaS and Contracting. \n### What I expect from mentees\nI'm looking for mentees who are seeking competency in modeling and project definition. I can provide code review and one-on-one meetings.", "isFormerMentee" : false }, { "_id" : "MiXsafGyBgwAYpGCz", "linkedInUrl" : "https://www.linkedin.com/in/amanmeet/", "lastName" : "Garg", "firstName" : "Amanmeet", "locationString" : "San Francisco, CA, USA", "currentRole" : "Senior Research Engineer - Video", "domainFeatures" : [ "healthcare", "media", "socialMedia" ], "technicalFeatures" : [ "computerVision", "deepLearning", "dataScience" ], "mentorshipOfferings" : [ "projects", "mockInterviews", "oneOnOneCalls" ], "readme" : "### About me\nApplied Scientist , Computer vision , Mobile health, Image and Video AI, Healthcare and medicine \n### What I expect from mentees\nI am looking to share my experiences in interviews, job hunting, projects, industry work and academics to help my mentees secure a good career path more so than just a job. To really become successful, I believe failure and hardships are equally relevant just like success and ease of handling any test. I expect commitment , hard work and delivery just as I do to every person I engage with professionally and outside work. Regular sync ups, weekly meetings, projects, interview practice are all part of the preparation for great interview experience.", "isFormerMentee" : false }, { "_id" : "bhm8bvDyiEpRCqoRs", "linkedInUrl" : "https://www.linkedin.com/in/rupamv/", "lastName" : "Vaghasiya", "firstName" : "Rupam", "locationString" : "Toronto, ON, Canada", "currentRole" : "Full-Stack Consultant", "domainFeatures" : [ "finance", "digitalMarketing", "eCommerce" ], "technicalFeatures" : [ "webDevelopment", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking" ], "readme" : "### About me\nSenior Full-Stack Consultant ex-@Walmart. ex- @Deloitte, @TD, @BMO, @RBC, @Infosys\n\nI can help with building expertise in JavaScript or JavaScript based frameworks including Angular, React, NodeJS etc. Also, groom candidates with Interview preparation, resume review, Job referrals and sharing industry experience.", "websiteUrl" : "http://janmay.ca", "isFormerMentee" : false }, { "_id" : "REXt74b9wsJ5KMcCJ", "linkedInUrl" : "https://www.linkedin.com/in/priya-panwar-2535947/", "lastName" : "Panwar", "firstName" : "Priya", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist at Global Infrastructure Hub", "domainFeatures" : [ "research", "retail", "government" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "### About me\nExperienced Data Scientist, Advanced Analytics and Insights professional with a demonstrated history of working in CPG, Retail, Telecom & Government. Skilled in Data Strategies, Data Munging, Descriptive & Diagnostic Analysis, Building Predictive Models, Story Telling & Customer- focused Insights \n### What I expect from mentees\nI'm looking for mentees who are either at the start of their career or 2-3 yrs. experience or making a career change to Data Science. My focus would be how to drive impact for the business question that you would be answering through data science project. I would love to work with mentees who curious and want to go beyond the comfort zone to deliver the insights. My support would be 360 - ranging from identifying the project, defining problem statement, data science lifecycle, insights generation and story telling. I would prepare the mentees on the aspects which would make them stand out from their peers during the job search and interviews. If any of the above said, is your objective as well, lets talk.", "isFormerMentee" : false }, { "_id" : "4XrpfeXEXs38HRQqH", "linkedInUrl" : "https://www.linkedin.com/in/simonbelak/", "lastName" : "Belak", "firstName" : "Simon", "locationString" : "Amsterdam, Netherlands", "currentRole" : "Mad Scientist @Metabase", "domainFeatures" : [ "software", "saas", "transportation" ], "technicalFeatures" : [ "analytics", "dataEngineering", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nThe combination of lisp and machine learning put me on the path of always striving to make myself redundant if not outright obsolete. Currently working hard to become obsolete at Metabase where I am trying to build an artificial data scientist and imbue visualisations with understanding and context. \n\nI oscillate between data science and engineering/programming. I have worked on everything from recommendation algorithms, to churn and attribution models, to NLP systems; real-time pricing algorithms with 100Ms of parameters; routing and packing optimizations; to more off the wall problems like how to encode the notion of interestingness, and how to do automated data analysis.\n\n### Areas where I can be of help:\n* data science and BI/analytics. I am an especially good match if you want to learn about business metrics, how to make companies data-driven, and exploratory analytics;\n* data engineering and model productization;\n* interviewing & CVs (I've spent quite a bit of time on the other side of the table);\n* tool building;\n* building products with ML in them, and the UX considerations thereof;\n* recommendation algorithms;\n* engineering/programming side of things;\n* building and running data departments/teams;\n* general career advancement;\n* {meta} how to decompose complex problems;\n* {meta} the art of meta-work.\n\n### I'm probably not a good match if:\n* you are eying research-heavy positions or positions in academia\n* want to go deep in a narrow subfield (for most fields there are mentors on this site who are subject matter experts in that particular field)\n\n### What you can expect from me:\n* code reviews;\n* reading material and pointers to libraries, tools, and approaches;\n* brainstorming sessions in the form of design documents (written communication is important but often overlooked as is the ability to decompose problems well);\n* CV review and interview prep;\n* knowledge and experience mini-dumps.\n\nHappy to work both with complete beginners, as well as experienced people looking to switch or upgrade their careers. \n\nNote: I'm currently based in Europe. For people based in North America, this means that our real-time interactions will be relegated mornings (up to about noon PST).", "gitHubUrl" : "https://github.com/sbelak", "isFormerMentee" : false }, { "_id" : "AFqEkpLFcefQuThRF", "linkedInUrl" : "http://linkedin.com/in/brentonmallen", "lastName" : "Mallen", "firstName" : "Brenton", "locationString" : "Graham, NC, USA", "currentRole" : "Senior Data Scientist", "domainFeatures" : [ "cybersecurity", "government" ], "technicalFeatures" : [ "timeSeries", "dataEngineering", "productionization" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist / Backend Data Engineer at Syngenta. Formerly a data scientist in the cybersecurity industry with a background in digital and image signal processing. \n### What I expect from mentees\nI'm looking for mentees with beginner to intermediate programming experience and an interest in working on a data science project to expand their skillset and portfolio. I am willing to provide regular one-on-one meetings along with code-reviews and architectural or general guidance. I will leverage my experience from working on exploratory research and developing production level data/image systems to provide a professional perspective.", "gitHubUrl" : "https://github.com/brentonmallen1", "websiteUrl" : "https://brentonmallen.com/", "isFormerMentee" : false }, { "_id" : "q37LYYrdtADpWJpmR", "linkedInUrl" : "http://linkedin.com/in/tsajid", "lastName" : "Sajid", "firstName" : "Taimur", "locationString" : "New York, NY, USA", "currentRole" : "Head of Data Science & Analytics", "domainFeatures" : [ "finance", "realEstate", "research" ], "technicalFeatures" : [ "dataScience", "timeSeries", "analytics" ], "mentorshipOfferings" : [ "networking", "oneOnOneCalls", "codeReview", "projects" ], "readme" : "### About me\nHi there! I'm the head of data at a fintech startup, as well as an investor and advisor to several data companies. I was previously a data scientist/quant at Blackstone & JPMorgan. I graduated from Carnegie Mellon, where I studied Economics & Statistics.\n\n### What I expect from mentees\nI'm happy to meet with mentees that are looking for career guidance, or are interested in breaking into finance or fintech, and are interested in working on a data science project. I can help you build your network, as well as provide one-on-one calls, code reviews, and interview prep. I'm especially interested in mentoring an underrepresented minority, but am happy to talk to anyone that is passionate and eager to learn.", "isFormerMentee" : false }, { "_id" : "imisf3Kq7gJ4HdD9c", "linkedInUrl" : "http://linkedin.com/in/akash-shetty/", "lastName" : "Shetty", "firstName" : "Akash", "locationString" : "Markham, ON, Canada", "currentRole" : "AI Researcher @Wondeur and Master Student (Data Science) @Harvard University", "domainFeatures" : [ "research", "finance", "dataForGood" ], "technicalFeatures" : [ "dataScience", "deepLearning", "visualization" ], "mentorshipOfferings" : [ "projects", "codeReview", "networking" ], "readme" : "### About me\nMaster's Student Data Science @Harvard University (Present), Graduated Hons. B.Sc. Math and Physics, currently working as AI Researcher @Wondeur and Big Data Lab Coach @McMaster University. My other interests including triathlon, jiu-jitsu, reading books and listening to podcasts. \n### What I expect from mentees\nI'm looking for mentees that are at least familiar with Python. I can assist your learning process here (from my teaching experience) but require you to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review and regular one-on-one meetings, help with networking and assist in building models with productionization skills. I'm especially interested in mentoring someone from STEM background but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "q6Hes75PHjLtoRiq3", "linkedInUrl" : "https://www.linkedin.com/in/anujpatel96/", "lastName" : "Patel", "firstName" : "Anuj", "locationString" : "Ottawa, ON, Canada", "technicalFeatures" : [ "dataScience", "dataEngineering", "deepLearning" ], "domainFeatures" : [ "telecom", "digitalMarketing", "finance" ], "currentRole" : "Data Scientist at TD", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking" ], "readme" : "### About me\n\nData Scientist@[TD](https://www.td.com/ca/en/personal-banking/),\nFormer Data Analyst@[CRA](https://www.canada.ca/en/revenue-agency.html)\n\nI am highly accurate and experienced in collecting, analyzing, and interpreting large datasets, developing machine learning algorithms, and performing data management tasks. I also have experience of model validation as well as productionizing machine learning model from scratch. \n\nI will help you in resume building as well as building your portfolio. We will be working on different data science and machine learning projects as per your interest. I will also provide code reviews and technical guidance through regular one to one touchpoints. We will also schedule mock interviews and I will also help you in your job hunt.\n\n### What I expect from mentees\nI'm looking for mentees who already know the basics of any programming language(Python preferred) and willing to commit 20+ hrs per week. It would be great if you are from STEM background or at least have some knowledge of statistics and coding.\n\n### Previous Hired Mentees\n- Hitesh Prajapati -> Software Developer @ TCS\n- Malavi Gheewala -> System Engineer @ Deloitte \n- Darshil Prajapati -> Software Developer @ TCS\n\n### What's next?\nIf you think you are a good fit for a potential mentorship:\n1. Please send me a message describing your background and career goals. Alternatively, you can reach out to me on LinkedIn as well.\n2. Send your resume/CV (if you have not uploaded it on your profile).\n3. Book a time for a 45-minute interview here: https://calendly.com/apatel270196/45min", "gitHubUrl" : "https://github.com/anujpatel96", "isFormerMentee" : true }, { "_id" : "EhYuuQ8wkFTvgj8ud", "linkedInUrl" : "https://www.linkedin.com/in/justinreppert/", "lastName" : "Reppert", "firstName" : "Justin", "locationString" : "Austin, TX, USA", "technicalFeatures" : [ "nlp", "productionization", "deepLearning" ], "domainFeatures" : [ "dataForGood", "software", "edtech" ], "currentRole" : "Machine Learning Research Engineer (NLP)", "gitHubUrl" : "https://github.com/reppertj", "websiteUrl" : "https://www.justinreppert.com/", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nMachine Learning Research Engineer @ [ought.org](https://ought.org/), where we are building [Elicit](https://elicit.org/), the AI research assistant.\nWork on large language models, AI alignment, semantic search, reinforcement learning in NLP, MLOps \n### What I expect from mentees\nI'm looking for mentees who already enjoy programming & building software (even if you haven't done so professionally). I'm especially able to help for those motivated to work in large-scale natural language processing, production MLOps including very large, distributed models, or AI alignment research. I'll help you figure out a learning plan, a strategy for building up your skills through projects, and ways to get interview ready.", "isFormerMentee" : true }, { "_id" : "nJaDqchCopsz7oS8u", "linkedInUrl" : "http://linkedin.com/in/wenjie-richie-zi/", "lastName" : "Zi", "firstName" : "Wenjie", "locationString" : "Toronto, ON, Canada", "currentRole" : "Research Engineer II @ Borealis AI", "domainFeatures" : [ "finance", "socialMedia", "software" ], "technicalFeatures" : [ "nlp", "recommenders", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\n- Master from University of Toronto in computer science\n - 5+ years full time working experience as Machine learning engineer/Research engineer @ Verticalscope(past), 500px(past), Borealis AI (current)\n - TMLS MLOps committee member, involved in multiple mentorship programs", "isFormerMentee" : false }, { "_id" : "pJtY36oGPe2WDRJvb", "linkedInUrl" : "http://linkedin.com/in/ganan-prabaharan-20a789a9", "lastName" : "Prabaharan", "firstName" : "Ganan", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @ CIBC", "domainFeatures" : [ "finance", "software" ], "technicalFeatures" : [ "dataScience", "webDevelopment" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "oneOnOneCalls" ], "readme" : "### About me\nIm a Data Scientist at CIBC, and have had 6 technical internships during my undergraduate degree \n### What I expect from mentees\nI'm looking for mentees who have are comfortable with Python and are able to commit to 10+ hours a week individually to a Data Science project. I can work with mentees for 2 hours a week, to review code, encourage production-level code, as well as helping plan through project strategies. I will also join regular one-on-one meetings for general questions/advice as well as interview practice.", "isFormerMentee" : false }, { "_id" : "GJSe4qHWQYhmaEqaG", "linkedInUrl" : "http://linkedin.com/in/voladoddi", "lastName" : "Voladoddi", "firstName" : "Pooja", "locationString" : "San Francisco, CA, USA", "currentRole" : "AI Software Engineer @ McdTechLabs", "domainFeatures" : [ "software", "hardware" ], "technicalFeatures" : [ "deepLearning", "dataEngineering" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "networking", "oneOnOneCalls" ], "readme" : "### About me\nAI software engineer @ McDTechLabs, work on speech recognition. Formerly @Cisco worked on enterprise virtual assistant / headsets, @Knowles Intelligent Audio : worked on motion context recognition and speech acoustic model training. \n### What I expect from mentees\nI'm looking for mentees comfortable with C++/Python who are curious, goal-oriented and proactive. I will provide code review, ideas for projects and guidelines about approaching ML projects, taking a software engineering oriented approach. I'm more than happy to provide job referrals if I think the mentee is doing very well.", "isFormerMentee" : false }, { "_id" : "RLLNdePZsh2QDM8fC", "linkedInUrl" : "https://www.linkedin.com/in/soniapnguyen/", "lastName" : "Nguyen", "firstName" : "Sonia", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @Shopify", "domainFeatures" : [ "government", "finance", "eCommerce" ], "technicalFeatures" : [ "analytics", "visualization", "dataScience" ], "mentorshipOfferings" : [ "networking", "oneOnOneCalls" ], "readme" : "### About me\nData scientist @Shopify \n### What I expect from mentees\nI'm looking for mentees who are comfortable with SQL and Python, who have already completed some projects, and are looking for assistance with the communications-side of their job hunt. I understand that for some with a very technical background, it can be challenging to communicate/demonstrate your abilities. I can provide code review but would be the most help if you're interested in support for resume writing, networking support, interviews, and general communication with recruiters/hiring managers.", "isFormerMentee" : false }, { "_id" : "P8RvvxgYrtPoBimcp", "linkedInUrl" : "http://linkedin.com/in/christopheremiliodavis", "lastName" : "Davis", "firstName" : "Christopher", "locationString" : "San Francisco, CA, USA", "currentRole" : "Senior Staff Engineer, Data", "domainFeatures" : [ "software", "finance", "saas" ], "technicalFeatures" : [ "analytics", "dataScience", "dataEngineering" ], "mentorshipOfferings" : [ "oneOnOneCalls", "networking" ], "readme" : "### About me\n- currently Sr Staff Engineer, Data @Udemy\n- formerly Sr Data Engineer @Autodesk (acq. @PlanGrid)\n- formerly Data Scientist, Analytics @CoffeeMeetsBagel (first Analytics hire)\n- Cornell University, Class of 2015\n\nWorking remotely from around Turtle Island (so-called United States). He/him pronouns.\n\n### About you\n\nIdeally you are someone looking for a job in Analytics (plenty of jobs in this space). Possible roles you may be interested in include: \n- Data Scientist\n- Analytics Engineer\n- Data Analyst\n- Product Analyst\n- Business Intelligence Analyst\n- Growth Analyst\n- Marketing Analyst\n\nPersonality:\n- Friendly\n- Coachable: willing to take and consider feedback\n- Inquisitive: asks many unprompted questions; wants to know \"why\" and not just \"how\"; not afraid to sound ignorant\n\n### Mentorship Plan\n\nOther mentorships might center around technical reviews and evaluations of your project-based work, to help you build a portfolio. While it may work for some, I find this approach to be too passive. I find that mentees have a harder time in the job market than with portfolio construction. So in contrast, my mentorship will be more akin to a 1:1 career-building bootcamp, with the goal of increasing the number of early and late round interviews you are invited to. We will develop frameworks to contextualize and understand a diversity of technical functions at technology companies, and apply that understanding in 1:1 workshop settings. I estimate a maximum of 10-15 sessions for a comprehensive mentorship experience for a typical mentee.\n\nSample topics covered in my lectures/sessions:\n\n- The Modern Tech Company: how and where data is generated, consumed and analyzed\n- The Modern Data Stack: skill development and application in consumer and B2B tech\n- Comprehensive Resume Optimization: Analytics careers in the technology sector\n - Including mentor-guided, line-by-line resume revision\n- Job-hunting strategies that make you stand out\n - Optimizing and scaling your networking techniques\n - Enhancing your overall application submissions\n - Interview preparation\n - Offer Negotiation\n - Learning how to properly qualify and understand a job-description (from the perspective of a hiring manager)\n - Mentor-guided technical planning of take home assignments from interviews (as desired)\n\n### What I expect from mentees\n\nI'm looking for mentees who are already fairly comfortable in their Data Science skills, but are having trouble with the job application process. Other than that commonality, I've worked with people of various backgrounds, including: career-changers, PhD's, folks in tech-adjacent industries, and folks looking to upgrade their existing careers in the data space.\n\nI also transitioned into the Data field with no prior experience, and the biggest challenge? Getting interviews. I'll work with you to figure out what your strong suits are, and focus on strengthening your resume. Then we'll work on how to increase your odds of hearing back from companies, and finally how to prepare for callback interviews. Most people new to the field greatly underestimate the power of a good resume, and a thought-out job search strategy. Getting into the field requires two things: that you know your stuff technically, and that you can communicate effectively enough to land an offer. If you work hard, and I assume you do, the first part should come to you with time, and a little guidance. The second part is where a mentor like me can really help.\n\nGood luck to you in your job search!\n\n### Pricing\nMy pricing is on a **pay as you go** basis. Why? I've had a number of friends who have done ISA's with mentors and gotten hired as a result. I think it's a good incentive, but each of them always tells me the same thing: **they wish they had paid up front**, as it would have been less expensive compared to an ISA.\n\nMy goal is to work with you as little as possible. If we're several months into a relationship, that's not going to feel like success. And if I'm not helping you significantly after each session, I'd rather you feel like you can walk away, right then and there. There are plenty of other great mentors on the platform, so there is very little sunk cost when working with me. That's what's in it for you.\n\nWhat's in it for me? I'm incentivized to help you from day 1. If we agree to an ISA, I only get paid off after you get hired, which means that I'm **only** likely to take on mentees who I think can get hired almost immediately. If not, I risk dedicating many additional sessions on a possible 'lost cause'. Now consider your position. If I begin mentoring you and several weeks later you realize you'd rather work with another mentor, or that it's not a good fit, you're effectively locked in with an ISA. With pay as you go, you can always leave when you're done - you can always change your mind.\n\n### Interested?\n\nSimply setup an initial consultation [using Calendly](https://calendly.com/christopheremiliodavis/intro-career-development), so that we can discuss the contents of my mentorship plan. The price of the initial consultation is $20. It used to be free but I would prefer to have this hurdle to make sure that folks who schedule time with me are sincerely interested in possibly starting a mentorship plan.\n\nThen, please send a copy of your latest resume to [christopheremiliodavis@gmail.com](mailto:christopheremiliodavis@gmail.com) (formatted in Word, no pdf's please). Don't worry about perfecting it - you can simply send me whatever you have right now. I will mainly be using it to get a better understanding of your technical background.\n\n### References\n\nAfter our first session, I’d be happy to provide the contact information of a past mentee, so that you can ask them about their experience and better determine whether you think I would be a good fit for you.\n\n### Misc Conditions\nCompletion of mentorship does not guarantee a job offer or constitute a promise of any future opportunity.\n\nSpeaking to other mentors before beginning any mentorship is highly encouraged.\n\nI reserve the right to anonymize any material that we, you or I create or edit during mentorship for the purpose of developing future coursework and material.", "isFormerMentee" : false }, { "_id" : "qdLu5ighYbRqLqEsM", "linkedInUrl" : "http://linkedin.com/in/austin-han/", "lastName" : "Han", "firstName" : "Austin", "locationString" : "Cupertino, CA, USA", "currentRole" : "Machine Learning Research Scientist", "domainFeatures" : [ "research", "software", "retail" ], "technicalFeatures" : [ "nlp", "computerVision", "recommenders" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "codeReview" ], "readme" : "### Hello hello!\n\nMy name is Austin and I'm a Machine Learning Research Scientist. Previously I worked **@GoogleResearch** as a Research SWE and was the former Research Lead **@Sensibill**. \n\nAs a result of my experiences in the industry, I hold self-learning, personal projects/businesses, leadership and soft skills extremely highly. As part of SharpestMind, I help with my mentees with the resources and clarity they need to achieve on these fronts. \n\nI will help you navigate through the mess that is technical recruiting. I will point you towards practice resources, help you with mock interviews, feedback on resume and talking points. I will help you with ideas and execution on side projects. But at the end of the day, it'll be up to you how much you practice, reflect, and digest the things we work on. \n\n### What I expect from my mentees\n\n* 15 to 25 hrs of work per week. The more the better. \n* A genuine interest in what you do and a passion to create things. This is the easiest way to learn as a hobby.\n* Some experience with programming and programming concepts \n\n### What I can help you with\n\n* **Interview Prep** - I've been on both sides of the desk a lot. From resume to interviews, there are things that are often overlooked in the mass majority of candidates. I will help you nail these things on top of your technical foundation.\n* **Coding Style and Architecture ** - Help you construct a solution as a mature engineer and researcher.\n* **Communication** - Most overlooked skill in interviews, work, and networking. \n* **Strategic and Tactical Career Advice** - I have experienced some stuff. It's also been a hobby of mine to help others with their careers. I'd like to take some of these experiences and help you make decisions that advance your career.\n* **Machine learning** - I am experienced in NLP, Computer Vision, and Recommendation systems. If you have questions about other things, I can always read up and help you with those. \n\n### You are probably better off with a different mentor if\n* You're looking for someone that tutors and teach you technically every step of the way. I will help you and point you into the right direction, but the work and effort for learning has to come from you. In the long term of your career, it's extremely important that we build a habit of self learning into your life. We will work to make you self resilient.\n* You're looking for someone to refer you to FAANG. I did refer some people I've mentored. But I'd never make any guarantees or promises.", "isFormerMentee" : false }, { "_id" : "HviKpcmDFBgucfHuP", "linkedInUrl" : "http://linkedin.com/in/johncalab/", "lastName" : "Calabrese", "firstName" : "John", "locationString" : "Houston, TX, USA", "currentRole" : "Software Engineer @ Meta", "domainFeatures" : [ "research", "software" ], "technicalFeatures" : [ "nlp", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### Short bio\nI grew up in Italy, studied math, and was a researcher for a few years. I worked at a few different places after that. I am now a Software Engineer at Meta. I like a number of things, NLP being one of them.\n\n#### Concrete things I can help you with\n\n**Interview prep.** Interviews are stressful, and practicing makes all the difference! I can help with mock interviews, commonly asked questions, and strategies for take-home data exercises.\n\n**Code reviews.** I can help make your Python more readable, efficient, and robust (I'm a big fan of coding best practices). I can help transform your notebook into a deployed app.\n\n**Presentations.** I have delivered talks around the world, and can help with structuring and polishing presentations.\n\n### I expect you to...\n\n* ... have some experience with relevant tools (python, sklearn, pandas, etc)\n* ... have some knowledge of ML fundamentals (logistic regression, k-means, etc)\n* ... spend most of your available time on interview prep, a data science project, and leetcode\n* ... spend time mastering machine learning basics\n* ... **Google fu**: if you are stuck on something, look it up first!\n\n### I'm probably not a good fit if you...\n\n* ... are more interested in data analytics / business side / project management\n* ... don't have any prior coding experience\n* ... don't have any prior machine learning knowledge", "gitHubUrl" : "https://github.com/johncalab", "websiteUrl" : "https://johncalab.github.io/", "isFormerMentee" : false }, { "_id" : "A7aKdGbSu8pw28Bdx", "linkedInUrl" : "http://linkedin.com/in/michael-wharton", "lastName" : "Wharton", "firstName" : "Michael", "locationString" : "Austin, TX, USA", "currentRole" : "Sr. Machine Learning Engineer @ KUNGFU.AI", "domainFeatures" : [ "consulting", "research", "mapping" ], "technicalFeatures" : [ "computerVision", "dataEngineering", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking", "projects" ], "readme" : "### About me\nSr. Machine Learning Engineer @ KUNGFU.AI. Former UT Austin researcher and SpaceX ground systems engineer with a background in aerospace engineering and computer science. \n### What I expect from mentees\nI'm looking for someone interested in any sub-discipline of machine learning that has a lot of passion and energy to pull from. I'm directly involved in the recruiting process at my current employer, open source projects, day-to-day machine learning engineering, as well as business case development. I can provide direct help with pair programming, resume reviews, and recurring tag-ups to guide your journey to being a professional data scientist. Very flexible on the structure and arrangement, don't hesitate to reach out!", "gitHubUrl" : "https://github.com/mwharton3", "isFormerMentee" : false }, { "_id" : "fHbsvkeLbM7p3jrww", "linkedInUrl" : "http://linkedin.com/in/reed-coke-ba755535/", "lastName" : "Coke", "firstName" : "Reed", "locationString" : "Austin, TX, USA", "currentRole" : "Senior Machine Learning Engineer @ KUNGFU.AI", "domainFeatures" : [ "consulting", "realEstate", "edtech" ], "technicalFeatures" : [ "nlp", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "projects", "oneOnOneCalls" ], "readme" : "### About me\nPassionate about language, AI education, and ethical AI. Designed and taught python/NLP curriculum to children for 4 years, ran own AI consulting business, worked at startups and huge tech companies alike. Master's in computer science from the University of Michigan.\n\n### Selected experience\n| Organization |    Highlights |\n| ----------------- | -------------- |\n| University of Michigan |    Published research in text summarization and text clustering |\n| Amazon.com |    Developed and put multi-lingual text classifier into production |\n| Y.C. Consulting |    Started and ran solo data science consultancy for 2 years |\n| [Fabulingua](https://www.fabulingua.com/) |    Technical advisor for Austin area language-learning startup |\n \n### What I expect from mentees\nI am deeply familiar with the difference between data science in the classroom and data science in the real world and am best suited to help mentees who want to cut their teeth on a full-stack, real-world project that is messier than a typical class assignment or Kaggle competition. I want to help you learn how to identify quirks in the data and use that knowledge to drive intelligent ML decisions that align to a hypothetical business context, as this is the most common skill I have seen lacking in junior interview candidates. After we pick a project that is interesting and fruitful for you, you should expect to work at least 5 hours per week on it and I will meet with you weekly to review code, advise on next steps, and help you reflect on your process (an often-overlooked interview skill). When the project is complete, we can conduct mock interviews.", "isFormerMentee" : false }, { "_id" : "egMA7PCCWTdT9RwLL", "linkedInUrl" : "http://linkedin.com/in/maryam-fallah/", "lastName" : "Fallah", "firstName" : "Maryam", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Engineer", "domainFeatures" : [ "healthcare", "bci", "saas" ], "technicalFeatures" : [ "nlp", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nMachine Learning engineer with 2+ years of hands on experience in developing machine learning models, natural language processing and statistical analysis. Working knowledge of Python, Pytorch, Tensorflow, SQL. Passionate about deriving insights from large datasets.\nPersonal Blog: cherrypicked.dev \n### What I expect from mentees\nOpen to mentorship for individuals with a good knowledge of machine learning and python programming who are eager to learn and commit to working on building an end-to-end project of their own choosing. Will probably be able to help the most if the project involves NLP, deep learning or signal processing; however, I am familiar with other fields such as computer vision and recommender systems as well. I will provide guidance in choosing the right tools, answer technical questions and do code reviews. In addition, I will dedicate time for resume reviews, job search guidance and mock interviews.", "isFormerMentee" : false }, { "_id" : "aqJ6RWSxEwi6CfFYC", "linkedInUrl" : "http://linkedin.com/in/rajat-jatana/", "lastName" : "Jatana", "firstName" : "Rajat", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Lead @ Hudson's Bay Company", "domainFeatures" : [ "consulting", "retail", "finance" ], "technicalFeatures" : [ "dataScience", "analytics", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nMachine Learning Lead @HBC | formerly Data Scientist @Accenture \n### What I expect from mentees\nI am looking for mentees who are comfortable in SQL and Python. Ideally, the ones who are able to spend 1-2 hours a day on the given projects. \n\nI will be guiding you on the following: \n- What additional skills you should learn and how to learn those? \n- What projects you should be undertaking as part of the learning process and for your resume / profile too\n- Helping you prepare your github \n- Helping you prepare for interviews", "isFormerMentee" : false }, { "_id" : "ag5Ppvba6bW8bGnwi", "linkedInUrl" : "http://linkedin.com/in/mukarram-tahir-a7287a9a/", "lastName" : "Tahir", "firstName" : "Mukarram", "locationString" : "Boston, MA, USA", "currentRole" : "Data Scientist at Amazon (AWS)", "domainFeatures" : [ "infrastructure", "research", "software" ], "mentorshipOfferings" : [ "networking", "mockInterviews", "oneOnOneCalls", "projects", "codeReview", "resumeAndLinkedInReview" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "analytics" ], "isFormerMentee" : false }, { "_id" : "u6oh5HNYTqrh4G4Rm", "linkedInUrl" : "http://linkedin.com/in/faraazsheriff", "lastName" : "Sheriff", "firstName" : "Faraaz", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist @Pecan.ai", "domainFeatures" : [ "retail", "telecom", "consulting" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\nSenior Data Scientist @Pecan.ai; Formerly Data Scientist@TELUS Communications and Senior Data Scientist @Mu Sigma \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python or R and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're searching for jobs with guidance on how to create your DS Resume, going about applying for jobs, how to ace interviews and ideas on how to continuously grow in this field. \n\nI'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "gitHubUrl" : "https://github.com/faraazsheriff", "isFormerMentee" : false }, { "_id" : "j82AgedQqey6BDmR8", "linkedInUrl" : "http://linkedin.com/in/anshuman-panwar-7b1b1b13", "lastName" : "Panwar", "firstName" : "Anshuman", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Science Manager at Shopify", "domainFeatures" : [ "finance", "research" ], "technicalFeatures" : [ "dataScience", "nlp", "deepLearning" ], "readme" : "### About me\nData science leader with more than 12 years of experience. Worked with some of the biggest investment banks like Barclays, Santander, RBS and TD \n\n### Mentees I am looking for\n- I am looking for people who are from a technical background, have a basic knowledge of python and SQL and are looking to make a career switch to the field of data science and analytics\n- Experienced people who are recent immigrants and looking for their first opportunity\n\n### Expectations from mentees\n- They should be able to come up with a project idea and I can help refine and structure it\n- Should be able to commit at least 10 hours a week\n\n### I can help with\n- Project guidance and sharpening technical skills\n- Resume building, networking support and help with choosing the right role \n- Interview preparation", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : false }, { "_id" : "pdwyhrnTCn5q4FHRu", "linkedInUrl" : "http://linkedin.com/in/divya-sivasankaran-1066aa5a", "lastName" : "Sivasankaran", "firstName" : "Divya", "locationString" : "Toronto, ON, Canada", "currentRole" : "Principal Machine Learning Research Engineer", "domainFeatures" : [ "healthcare", "dataForGood", "retail" ], "technicalFeatures" : [ "computerVision", "deepLearning", "dataScience" ], "readme" : "### About me\nApplied ML Research for 3D Design @Autodesk previously @integrate.ai, @National University of Singapore. I care about building ethical ML solutions and bringing ML research to product.\n\n### What I expect from mentees\nEach mentee-mentor relationship is unique. We would work out where you are, where you want to go and then define how I could help you get there. \n\nThe way I typically work with students/ interns is to focus on building the skill-sets over giving answers i.e., if you are struggling to catch a fish, I would want to teach you how to fish over helping you get a fish one time.\n\nMy strongest mentor relationships helped me build soft and technical skills that still help me everyday. I'd want to have a similar impact in your life.", "gitHubUrl" : "https://github.com/divsivasankaran", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "https://divsivasankaran.github.io/", "isFormerMentee" : false }, { "_id" : "FnkMSfqgauJxcEAuD", "linkedInUrl" : "https://www.linkedin.com/in/rushikeshranade", "lastName" : "Ranade", "firstName" : "Rushikesh", "locationString" : "Mississauga, ON, Canada", "currentRole" : "Delivery Lead at Rogers Communications", "domainFeatures" : [ "retail", "healthcare", "insurance" ], "technicalFeatures" : [ "visualization", "analytics", "dataScience" ], "mentorshipOfferings" : [ "oneOnOneCalls" ], "readme" : "Over 10 years of work experience working with Data Analytics and Business Intelligence (Visualizations).\nEngineer and MBA in Business Analytics. \n\nMy Certifications: Tableau Desktop Specialist \n AWS Certified cloud practitioner \n Certified Scrum Master CSM \n Microsoft Azure Fundamentals \n Microsoft Data Analyst - DA 100 Power BI\n Tableau 8 Badge Holder\n\nSkills: Data Wrangling, SQL, Power BI, Tableau, R, Python, Time Series, Github , SageMaker\n\n### What I expect from mentees\nI'm looking for mentees that are comfortable with Databases (SQL) and willing to commit >10 hrs per week on a full-stack Data Analytics project. If you are looking to gain domain knowledge about ERP system or Retail, I am your guy, I will provide code-review, help with building online public profiles, and regular one-on-one meetings.\nI'm interested in mentoring anyone who is willing to learn and grow together.", "isFormerMentee" : false }, { "_id" : "dRBHrHs4it7XTmksb", "linkedInUrl" : "https://www.linkedin.com/in/yiran-shi-b4ba5870/", "lastName" : "Shi", "firstName" : "Yiran", "locationString" : "Toronto, ON, Canada", "currentRole" : "Manager, Analytics and Insights", "domainFeatures" : [ "finance", "healthcare", "consulting" ], "technicalFeatures" : [ "analytics", "visualization", "tabular" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "readme" : "## About Me\n\nWith **direct recruiting experience** and data analytics experience, I am able to provide mentorship to someone who needs support in interview preparation, resume building, technical improvements, **salary negotiation**, **promotion (junior/senior/manager)**, and any work-related questions. Working as your mentor doesn't only mean I will help you land a job, but also means I will be here supporting you throughout the term and share with you my lessons and experience from the past so you will easily achieve your career goal for the short and long term. :)", "isFormerMentee" : false }, { "_id" : "FeijDvcyHjvDyWg4x", "linkedInUrl" : "https://www.linkedin.com/in/yongmichaelwang/", "lastName" : "Wang", "firstName" : "Yong", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist @ SAP Labs", "domainFeatures" : [ "healthcare", "digitalMarketing", "finance" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "codeReview", "mockInterviews", "projects" ], "readme" : "### About me\nSenior Data Scientist @ SAP Labs; formerly @Hamilton Health Sciences and @Moneris Solutions\n### What I expect from mentees\nI'm looking for mentees that are new to data science field. I can help to find the first data science job. As a new immigration in 2016, I have been through a tough time to find a job in Canada and switch the industry in a new environment. I could help to build up your profile and help to to land your first job in data science field.", "isFormerMentee" : false }, { "_id" : "sXv2xfgXtghYc7CEy", "linkedInUrl" : "https://www.linkedin.com/in/rosepeck1997/", "lastName" : "Peck", "firstName" : "Rose", "locationString" : "Kitchener, ON, Canada", "domainFeatures" : [ ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ ], "isFormerMentee" : false }, { "_id" : "nnwmi8sYCQA2DTdpC", "linkedInUrl" : "https://www.linkedin.com/in/ablimit/", "lastName" : "Aji", "firstName" : "Ablimit", "locationString" : "San Francisco, CA, USA", "currentRole" : "Director of Data Eng/Sci @Polarr", "domainFeatures" : [ "healthcare", "finance", "research" ], "technicalFeatures" : [ "dataEngineering", "dataScience", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "codeReview" ], "readme" : "### About me\nCreator of HadoopGIS, Ph.D from Emory, formerly at HP-Labs, Komodo Health. Avid tennis player, and data fanatic. \n### What I expect from mentees\nI'm looking for mentees who are early in their career, and looking to either making their way into the market or already have few years of experience and ready for advancing their career to the next level. I would require my mentee to fully commit to the outcome their desire to achieve, and willing work for that. I can help you define a project; come up with a project plan; you will go implement; and I will hold you accountable. During this process, I'll help you acquire necessary skills and provide feedback or areas of improvement that I think helpful for your growth. I'd love to meet my mentees on a regular basis and have coffee or lunch, and until the virus is tamed, we will meet virtually.", "isFormerMentee" : false }, { "_id" : "nnCN6Jy3RWqpMxGoS", "linkedInUrl" : "https://www.linkedin.com/in/sakibul-alam-1a16809a/", "lastName" : "Alam", "firstName" : "Sakibul", "locationString" : "New York, NY, USA", "currentRole" : "Data Scientist @ Two Sigma", "domainFeatures" : [ "sports", "dataForGood", "finance" ], "technicalFeatures" : [ "dataScience", "tabular", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls" ], "readme" : "### About me\nData Scientist @ Two Sigma. \n### What I expect from mentees\nLooking for mentees familiar with python and the basics of data analysis. I will provide code review, one on one meetings, general mentorship, and mock interviews. I am generally interested in mentoring someone from a math background , but open to anyone . Most importantly, I just expect commitment from my mentee whether it be through code, mentorship questions, interview prep, etc.", "isFormerMentee" : false }, { "_id" : "hy6K5hjjeSrbpHyQX", "linkedInUrl" : "https://www.linkedin.com/in/farhangtarlan/", "lastName" : "Tarlan", "firstName" : "Farhang", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Software Engineer", "domainFeatures" : [ "healthcare", "software", "finance" ], "technicalFeatures" : [ "deepLearning", "productionization", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "## About me\nMy name is Farhang. I am a machine learning software engineer at Connected passionate about building ML-backed software products. I love extracting obscure insights and patterns out of data, but what I enjoy most is turning these insights into software products. A lot of my skills lie in the intersection of machine learning and software engineering. If you want to get your hands dirty with the entire ML pipeline, from ETLs to model development to deployment, I can share a tip or two and help you showcase those skills to potential employers.\n\n### Technologies I can help you with\n- **cloud**: Mostly AWS and some GCP. I have worked with a lot of services on the AWS ecosystem (EC2, S3, Lambda, RDS, SQS, SNS, DynamoDB, SageMaker, ECS, ECR, ...). This is probably the most important tool in productionizing ML models\n- **ML algo**: You need to understand and speak machine learning. Part of this is understanding model architectures, but a bigger part is navigating your way to choosing a good model - often knowing where and how to borrow a descent architecture and tailoring it to your specific use case. \n- **Software engineering**: It is going to be a notable part of the your job, and the interview process, so you need to make sure you pick up some software engineering skills even if you are going for a more data sciencey role. These include computational complexity, algorithms and data structures, system design (to some extent), and tools like Git version control.\n- **CI/CD**: Once you have your software up and running, you need to automate updates. CI and CD tools will help you with such workflows.\n\n### I can help you with\n- Mock interviews (technical and behavioural)\n- Up skilling in technical knowledge \n- Building a project you can showcase your skills with as a data scientist or machine learning engineer, etc.", "isFormerMentee" : false }, { "_id" : "EXbqhtNmnsQeqANfk", "linkedInUrl" : "https://www.linkedin.com/mwlite/in/susanyingwang", "lastName" : "Wang", "firstName" : "Ying", "locationString" : "Menlo Park, CA, USA", "currentRole" : "Product Analyst @ Google", "domainFeatures" : [ "gaming", "software", "finance" ], "technicalFeatures" : [ "analytics", "dataScience", "nlp" ], "readme" : "### About me\nYing is a product analyst at Google with six-plus years of experience. She's passionate about coaching and mentoring aspiring young leaders and has extensive experience across product analytics, A/B testing, machine learning, and statistics.", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : false }, { "_id" : "mrfzYmFzcqysc55T5", "linkedInUrl" : "https://linkedin.com/in/nikhildeshmukhphd", "lastName" : "Desmukh", "firstName" : "Nikhil", "locationString" : "Los Angeles, CA, USA", "currentRole" : "Principal, NRD Consulting; Cofounder and CTO JobStep", "domainFeatures" : [ "selfDriving", "telecom", "humanResources" ], "technicalFeatures" : [ "timeSeries", "nlp", "dataScience" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "codeReview" ], "readme" : "### About me\nAI product consultant and entrepreneur. Formerly @RelianceJio, @Fountain (HRTech), @Nauto (Intelligent Dashcamera). PhD Computational Neuroscience \n### What I expect from mentees\nI'm looking for mentees that are comfortable with Python and 1 or more NLP libraries who want to work on applied full-stack projects using NLP. I will provide regular feedback and 1:1 guidance. I'm especially interested in mentoring folks with biology, economics, or social science backgrounds, but I'm open to chatting with everyone.", "isFormerMentee" : false }, { "_id" : "6tr2kqdmc6sHcwPuj", "linkedInUrl" : "https://www.linkedin.com/in/michaelbeaumier/", "lastName" : "Beaumier", "firstName" : "Mike", "locationString" : "Mission Viejo, CA, USA", "currentRole" : "Senior Data Scientist @ Google", "domainFeatures" : [ "transportation", "dataForGood", "digitalMarketing" ], "technicalFeatures" : [ "dataScience", "analytics", "dataEngineering" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking" ], "readme" : "### About me\nI'm a Senior Data Scientist at @Google, following two years of machine learning research and data science leadership at @Mercedes Benz Research. I have extensive experience building and deploying deep analyses, end to end DS pipelines, and machine learning models. \n### What I expect from mentees\nI am looking for mentees that have a passion for learning and discovery, a healthy appreciation for feedback, and a willingness to develop an aesthetic sense that drives beyond not just \"getting it done\", but \"doing it right\". Mentees should be ready to have honest and open discussions about goals, skills, and be excited to work with me to develop a plan to advance their career goals.\n\n### Working with me\n\nMentees that work with me will have the most success if they are intermediately skilled in python and are comfortable thinking about the relational algebra that defines data transformation and manipulation. Additionally, mentees should be willing to take the time to reflect on learning, and demonstrate this with strong written/communication skills. Mentees should be at least familiar with the data science stack (pandas, sklearn, matplotlib), and comfortable devoting at least 10 hours a week to work on an end to end data science project or interview prep, depending on what stage we're at.\n\nI will provide counseling and advising, code-review, and generally whatever support is part of the plan we develop together. We should plan on 1-2 structured check-ins per week lasting around an hour each, where we set an agenda, reflect on progress since last time, and make adjustments to your goals and plan as necessary. I will typically put in some time (1-2 hours a week) outside of these check-ins to review your work, formulate mock-interview questions and prep for our check-ins. As you progress, we will shift the focus towards mock interviews after assessing what kind of data science role you want to target and what topical areas we determine are most important to work on.", "isFormerMentee" : false }, { "_id" : "qjPF3tjCnNmMnw7mN", "linkedInUrl" : "https://www.linkedin.com/in/vivianszhang/", "lastName" : "Zhang", "firstName" : "Vivan", "locationString" : "New York, NY, USA", "currentRole" : "Chief Data Scientist @NYC Data Science Academy", "domainFeatures" : [ "healthcare", "digitalMarketing", "edtech" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "projects", "oneOnOneCalls", "codeReview" ], "readme" : "### About me\nI run NYC Data Science Academy and SupStat Analytics Inc. I am a data scientist who has many years of practical experience in data technologies and the analytics industry, after developing my expertise in statistical methodologies and software and in a variety of programming languages. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "D6GLHjxMrWqxpLYvo", "linkedInUrl" : "https://www.linkedin.com/in/harjotsparmar/", "lastName" : "Singh Parmar", "firstName" : "Harjot", "locationString" : "Waterloo, ON, Canada", "currentRole" : "Data Scientist", "domainFeatures" : [ "saas", "logistics", "digitalMarketing" ], "technicalFeatures" : [ "dataScience", "analytics", "timeSeries" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview" ], "readme" : "### About me\nData Scientist @Geotab", "isFormerMentee" : false }, { "_id" : "LXyPT7mWoHGz9GiRL", "linkedInUrl" : "https://www.linkedin.com/in/travis-sanders-2a331b140/", "lastName" : "Sanders", "firstName" : "Travis", "locationString" : "Jersey City, NJ, USA", "currentRole" : "Machine Learning Engineering Manager", "domainFeatures" : [ "saas" ], "technicalFeatures" : [ "nlp", "dataEngineering", "recommenders" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nMachine Learning Engineering Manager @NomadHealth (Starting in Feb.) Previously Data Engineering Manager @TheMuse and Machine Learning Engineer @TalentShare \n### What I expect from mentees\nI'm looking for mentees who are comfortable in Python and would like to grow their portfolio by completing a data science project. Through weekly one-on-ones, I'm happy to guide my mentees through inevitable roadblocks and ultimately increase their confidence in finding answers on their own - a very important skill set to have! I might be most helpful to someone who is interested in NLP and recommendation engines.", "isFormerMentee" : false }, { "_id" : "xwToR9S9YEb2XEmKC", "linkedInUrl" : "https://www.linkedin.com/in/pedrama/", "lastName" : "Ataee", "firstName" : "Pedram", "locationString" : "Vancouver, BC, Canada", "currentRole" : "AI Architect", "domainFeatures" : [ "legal", "robotics", "software" ], "technicalFeatures" : [ "nlp", "dataScience", "unsupervised" ], "mentorshipOfferings" : [ "projects", "codeReview", "mockInterviews", "networking", "oneOnOneCalls" ], "readme" : "### About me\nAI Architect, @Sway AI, Ph.D. from UBC, formerly @Thalmic Labs @EHSAI, Author of \"Artificial Intelligence: Unorthodox Lessons\" \n### What I expect from mentees\nI'm looking for mentees that are comfortable with Python and willing to commit > 10 hrs per week to an open-source **NLP project**. I will provide guidance, code review, and regular one-on-one meetings. If you get excited about developing open-source NLP projects and are ready to tackle hard problems, I would be open to chatting. Kudos!\n\nI can't help you if you:\n- want to pursue computer vision in your AI journey\n- are not familiar with basic NLP techniques\n- are not familiar with basic software development practices such as Git", "gitHubUrl" : "https://github.com/pdrm83", "websiteUrl" : "https://linktr.ee/pedrama", "isFormerMentee" : false }, { "_id" : "sRyJx67tGGz4wKDQx", "linkedInUrl" : "https://www.linkedin.com/in/ikozoderova/", "lastName" : "Kozoderova", "firstName" : "Eva", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist@MightyHive", "domainFeatures" : [ "digitalMarketing", "socialMedia", "media" ], "technicalFeatures" : [ "dataScience", "analytics", "dataEngineering" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "projects", "oneOnOneCalls", "networking" ], "readme" : "### About me\nOptimizing Digital Marketing with Data Science \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and SQL and willing to commit up to 5-10hrs per week to a full-stack Data Science project.\nAs a self-taught data-scientist, I can provide assistance with finding relevant courses to develop the required skills for your portfolio. \nI will provide code-review and regular one-on-one meetings. I'm especially interested in mentoring someone who is looking for a Data Science position in Digital Marketing/ Media industry.", "isFormerMentee" : false }, { "_id" : "tAKij9ieKnTqbDYcj", "linkedInUrl" : "https://www.linkedin.com/in/davisvance/", "lastName" : "Vance", "firstName" : "Davis", "locationString" : "San Francisco, CA, USA", "currentRole" : "BI @ Google", "domainFeatures" : [ "software" ], "technicalFeatures" : [ "analytics", "dataEngineering" ], "mentorshipOfferings" : [ "projects", "networking", "oneOnOneCalls", "codeReview" ], "readme" : "### About me\nI'm empowering business partners at Google to take advantage of data to make decisions, helping others learn or accomplish their goals brings me great satisfaction and I look forward to opportunities to help you break into the analytics field.\n\nMost days I am buried in SQL, testing my pipelines to find robust scalable ways to deliver honest and useful information across a large network.\n\n### What I expect from mentees\nI want to help you formulate an entry into analytics by providing detailed feedback for your technical improvement and walking you through the nooks and crannies of the culture. I can also facilitate connections in my network. I want you to be curious and passionate so we can have fun exploring your interests.", "isFormerMentee" : false }, { "_id" : "THDF5DkEa6vt55WF8", "linkedInUrl" : "https://www.linkedin.com/in/amirnajian/", "lastName" : "Najian", "firstName" : "Amir", "locationString" : "San Francisco, CA, USA", "currentRole" : "Senior Data Scientist", "domainFeatures" : [ "insurance", "mapping", "legal" ], "technicalFeatures" : [ "dataScience", "unsupervised", "nlp" ], "mentorshipOfferings" : [ "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist and problems solver with an expertise in the application of Machine Learning and NLP in geospatial sciences. \n### What I expect from mentees\nI am looking for mentees who can code in Python and are interested in working on Machine Learning projects, specially in Natural Language Processing (NLP). I will provide code-review, and regular one-on-one meetings. I can also help with geospatial data projects.", "isFormerMentee" : false }, { "_id" : "J63gNRKHYtMfAzneT", "linkedInUrl" : "https://www.linkedin.com/in/oleksandrmalovanyi/", "lastName" : "Malovanyi", "firstName" : "Oleksandr", "locationString" : "Cary, NC, USA", "currentRole" : "Manager, Enterprise Data Engineering @Cloudera", "domainFeatures" : [ "finance", "software", "telecom" ], "technicalFeatures" : [ "dataEngineering", "analytics", "visualization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "codeReview", "mockInterviews", "projects", "networking", "resumeAndLinkedInReview" ], "readme" : "### About me\nI am a Manager, Enterprise Data Engineering at Cloudera.  I have more than 18 years of programming experience with consistently increasing responsibilities in software design and commercial applications architecture on different platforms and environments. More than 5 years of professional experience managing, leading, and coaching teams of 10+ Data and Software Engineers. Experience in design, development, and implementation of enterprise-level distributed business applications. High-level experience in developing and designing large enterprise Data Platforms and transactional systems.\n### What I expect from mentees\nI am looking for mentees that willing to become a data engineer or data analyst and that are self-driven. From my side, I will provide a guide on how to achieve the final result to get the offer. I will help with the learning path, code review, mock interview, CV and linkedin profile.", "isFormerMentee" : false }, { "_id" : "WGiBfGQq3BGkZAk3B", "linkedInUrl" : "https://www.linkedin.com/in/reva25", "lastName" : "Sivasankaran", "firstName" : "Revathy", "locationString" : "Toronto, ON, Canada", "currentRole" : "Product Manager Advanced Analytics @Sobeys", "domainFeatures" : [ "finance", "retail", "telecom" ], "technicalFeatures" : [ "analytics", "dataScience", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects", "codeReview" ], "readme" : "### About me\nI am a Masters grad from the University of Toronto. I am passionate about Advanced Analytics and ML. \nCurrently, I am leading Advanced Analytics Products at the Sobeys Innovation Hub. \nI have prior experience in Software Development and Data Science before moving into Product Management. \n\n### What I expect from mentees\nI am looking for mentees who are passionate about Data Science/ Analytics or someone who is interested to move into Product Management related roles. \nIdeally someone who has a good knowledge of Python.\n\nI went through the job search process myself two years back. I took up this role to pass on my experience and knowledge I got during this process.\n\nI happy to provide any help that the mentee needs in their career progression path including one on one meetings, technical skills, career support and mock interviews.", "gitHubUrl" : "https://github.com/reva0", "isFormerMentee" : false }, { "_id" : "yKBnDv798pXBsmEAR", "linkedInUrl" : "https://www.linkedin.com/in/xiaoeric/", "lastName" : "Xiao", "firstName" : "Eric", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Developer @ Shopify", "domainFeatures" : [ "eCommerce" ], "technicalFeatures" : [ "dataEngineering", "productionization", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\n4 years of experience @ Shopify. Been on various teams and projects in the data organization.\n\nStarted out as a data scientist then transitioned to become a data platform engineer.\n\nHave deep and real life experience on every part of the ETL pipeline. \n### What I expect from mentees\nI’m looking for mentees that are passionate about learning and data at every stage of journey to getting their data engineering or science role.\n\nI will provide you with an inside look on the interview processes of many companies including the FANGs. This includes resume critiques, what recruiters look for, and interview processes.\n\nI can help you prep for both data science and engineering interviews through mock technical and behaviour interviews.\n\nI can tell you about the latest technical and help with projects that will leverage the latest tech.", "isFormerMentee" : false }, { "_id" : "X53m7n6rhHri2GgMn", "linkedInUrl" : "https://www.linkedin.com/in/andrew-y-yang", "lastName" : "Yang", "firstName" : "Andrew", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Engineer", "domainFeatures" : [ "saas", "software" ], "technicalFeatures" : [ "dataEngineering", "tabular", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "### About YOU\nYou're looking to break into the data and analytics world. You already have a good grasp of the technical fundamentals, but are having trouble getting that first lead. You want to learn more about the tricky soft skills people use to get the job.\n\n### About me\nStudied physics in school and then transitioned to the data world. Had to learn how to get a data job the hard way.\n* Data Engineer @Zuora\n* formerly contractor for Insight Global @Facebook, formerly @AT&T\n\nM.S. in Physics at UCI 2016\nB.S. in Physics, in Chemistry at Yale 2012\nMBA at Quantic 2019\n\n### Services\nI can share my personal experiences and thoughts on making the transition from academia to the data world, and what lessons I learned from my own job searching and whiteboard interviewing ordeals. I cannot guarantee that my experiences will be useful to your specific situation, but if I can guarantee that I will be honest about whether I think my experiences would be of value to you.\n\nI *can* provide technical guidance, but as I will explain in any first consultation, I consider non-technical guidance far more important.\n\nIf interested, please send a message including:\n* Your current resume\n* Three proposed time blocks in the next week for a free 90 minute consultation on:\n - Monday-Thursday 7pm - 9pm PT (10pm - 12am ET)\n - Saturday-Sunday 12pm - 3pm PT (3pm - 6pm ET)\n\nI can share my experiences either in a structured or unstructured format.\n\n#### Structured Plan\nThe architect's path: Structured 1:1 workshops and discussions aimed at making you the best job candidate you can be.\n\nSample workshops:\n* Career Goal Setting\n* Resume Workshop\n* Thinking like a Recruiter or Hiring Manager\n* How Valuable is a Portfolio?\n* How to Not Have to Know Everything\n* To Whiteboard or Not to Whiteboard\n* What is \"Fit\" Really?\n* Leveraging Job Offers Without Breaking the Lever\n* You're Starting the Job... Now What?\n* The Ride Never Ends, Unfortunately\n\nAdditional technical workshops upon request:\n* Portfolio Projects\n* Whiteboard Practice\n\n#### Unstructured Plan\nThe gardener's path: I ramble, you ramble, we exchange stories, you get the job.", "isFormerMentee" : false }, { "_id" : "YBfkdQH52jWEJTwDC", "linkedInUrl" : "https://www.linkedin.com/in/mohcine-madkour-83a642b2/", "lastName" : "Madkour", "firstName" : "Mohcine", "locationString" : "Columbus, IN, USA", "currentRole" : "Sr Data Scientist in Automotive Industrie", "domainFeatures" : [ "manufacturing" ], "technicalFeatures" : [ "dataScience", "timeSeries", "computerVision" ], "mentorshipOfferings" : [ "mockInterviews", "projects", "codeReview", "oneOnOneCalls" ], "readme" : "### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "sXPBdeoFs4Zc5MRSN", "linkedInUrl" : "https://www.linkedin.com/in/lindsaymico/", "lastName" : "Thomas Mico", "firstName" : "Lindsay", "locationString" : "Portland, OR, USA", "currentRole" : "Director of Data Science at Providence Health", "domainFeatures" : [ "healthcare", "naturalResources", "telecom" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "timeSeries" ], "isFormerMentee" : false }, { "_id" : "WFFBbScu45kp6B9Kz", "linkedInUrl" : "https://www.linkedin.com/in/dataiseverything/", "lastName" : "Deshmukh", "firstName" : "Rohan", "locationString" : "Harrison, NJ, USA", "currentRole" : "Lead Data Scientist @ S3 Partners", "domainFeatures" : [ "finance", "digitalMarketing", "consulting" ], "technicalFeatures" : [ "nlp", "timeSeries", "anomalyDetection" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking" ], "readme" : "### About me\n5+ years as Data Scientist, Currently leading Data Science @ Fintech company in NYC | Ex- PwC | NYU CS Alumni \n### What I expect from mentees\nI'm looking for mentees that are looking to learn Machine Learning and looking for a career as a Data Scientist. I hope the mentees are willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model deployment skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "gitHubUrl" : "https://github.com/rohan-deshmukh", "websiteUrl" : "https://rohan-deshmukh.github.io/", "isFormerMentee" : false }, { "_id" : "Aur7NQACvnMRqC5Yi", "linkedInUrl" : "https://www.linkedin.com/in/anton-biryukov-449b6a92/", "lastName" : "Biryukov", "firstName" : "Anton", "locationString" : "Calgary, AB, Canada", "currentRole" : "Data Scientist @ Energy Toolbase, a Pason company", "domainFeatures" : [ "software", "research", "naturalResources" ], "technicalFeatures" : [ "timeSeries", "dataScience", "productionization" ], "mentorshipOfferings" : [ "codeReview", "networking", "oneOnOneCalls" ], "readme" : "### About me\n\nHello! My name is Anton, and I am currently making the energy industry cleaner by devising smart forecasting algorithms and battery energy dispatch strategies, deployed on edge devices.\nMost of my industry experience is in time series and deploying/maintaining/monitoring models in production. \n\n### What I expect from mentees\n\nI would be looking for mentees coming from STEM fields (bonus points for physics ;) ), that are comfortable with Python, and have some basic skills with its key Data Science libraries. I can assist with code review, guide around the industry and help establish a portfolio of end-to-end DS projects, as well as help with networking.", "gitHubUrl" : "http://github.com/antonbiryukovuofc", "websiteUrl" : "http://geoanton.netlify.app", "isFormerMentee" : false }, { "_id" : "PMbvxqLoCFSBPDL4H", "linkedInUrl" : "https://www.linkedin.com/in/yashovardhanchaturvedi/", "lastName" : "Chaturvedi", "firstName" : "Yashovardhan", "locationString" : "Manchester, NH, USA", "currentRole" : "Machine Learning Engineer", "domainFeatures" : [ "selfDriving", "healthcare", "robotics" ], "technicalFeatures" : [ "computerVision", "deepLearning", "reinforcementLearning" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "networking" ], "readme" : "### About me\nMachine Learning Engineer at Deka Research working on last mile delivery robots! Work on CV and production ML pipelines \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and willing to commit >10 hrs per week on a full-stack Data Sciene Project or Kaggle Competition. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills and mock interviews. I can help people in mastering domains such as Computer Vision , NLP , Generative Modeling. Scaling up Machine learning models , distributed training. I am especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "sncMz6cZcbjxyzjZz", "linkedInUrl" : "https://www.linkedin.com/in/karanuppal/", "lastName" : "Uppal", "firstName" : "Karan", "locationString" : "New York, NY, USA", "currentRole" : "VP of Engineering (prev. Director of Data Science)", "domainFeatures" : [ "finance", "insurance" ], "technicalFeatures" : [ "productionization", "nlp", "tabular" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : false }, { "_id" : "K5XJADTG6ShzMCJr5", "linkedInUrl" : "https://www.linkedin.com/in/thomas-hossler-48425826/", "lastName" : "Hossler", "firstName" : "Thomas", "locationString" : "Remote, OR 97458, USA", "currentRole" : "Sr. Deep Learning Engineer", "domainFeatures" : [ ], "technicalFeatures" : [ ], "mentorshipOfferings" : [ ], "isFormerMentee" : false }, { "_id" : "G5F6ZjmwzkN2SEuoY", "linkedInUrl" : "https://linkedin.com/in/misbahkhan1", "lastName" : "Khan", "firstName" : "Misbah", "locationString" : "Mississauga, ON, Canada", "currentRole" : "Data Scientist , Machine Learning Mentor", "domainFeatures" : [ "software", "research", "socialMedia" ], "technicalFeatures" : [ "nlp", "dataScience", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "readme" : "### Hello!\n\nMy name is Misbah and I am a Data Scientist and Machine Learning Scientist. I have 10 years of data-oriented experience with 7 years in data science and machine learning. My work is mostly NLP and Computer Vision centric. In the past, I had been mainly involved in helping companies grow by advising on product, data and analytics strategy to develop customer-centric, data-driven, high ROI changes to maximize their monetary gains and customer satisfaction.\n\nI am also a Machine Learning and AI mentor at Great Learning for the \"Applied Data Science Program\" By MIT, and \"Post Graduate Program in AI and ML\" provided by University of Texas Austin. I also mentor a few young women graduates as a Women in STEM initiative. I have been into teaching/mentorship since the past 10 years and easily understand how to adapt to an individual’s needs and capabilities.\n\nI currently live near Toronto, Canada but I call both USA and Canada my home. I am an open-minded, transparent and approachable data scientist who loves teaching and mentoring. I have a very direct communication style and focus on transparent and direct feedback. I’d usually go out of my way to support you, and that’ll always be measurable in terms of your enthusiasm in this journey. I prefer informal communication, with a pinch of humor if that works well for us :)\n\n### What I expect from mentees \nI'm looking for mentees that are already comfortable with Python and willing to commit >10 hrs per week on Data Science projects. I need the mentee to have transparent communication with me in terms of their feedback, complaints, requirements and suggestions.\n\n### What I can help you with \nI will provide code-review, regular one-on-one meetings, project assignments, guidance with project of your choice, GitHub portfolio building, resume review, interview prep, mock interviews, job search, FAANG prep and system design interviews. I'm especially interested in mentoring someone from computer science/math/stats/hard STEM. \n\n### You are probably better off with a different mentor if\n- Are not passionate about data and all-things-data, even if they are difficult to begin with. (I’ll be here to support you, but the journey is ultimately yours)\n- Anyone who isn’t very familiar with Python and is looking to start their first data science project with me. My focus would be on those who are comfortable with data science and are looking for industry specific polishing.\n\n### Mentorship Structure and Fees \n- Option 1: Weekly Zoom meetings for 8 weeks and 5% \n- Option 2: Weekly Zoom meetings for 12 weeks and 7% \n- Option 3: Weekly Zoom meetings for 16-20 weeks and 10%\n\nI will also be available through emails/messages throughout these 8-20 weeks for quick communication and guidance.\n\n### When reaching out, please address the following: \n1. Your technical background, \n2. What (specifically) you're looking for in your next role, \n3. Where you are in the interview process, and \n4. What (specifically) you're looking for in a mentor.", "isFormerMentee" : false }, { "_id" : "ngRQLWp5MAdy6AMeE", "linkedInUrl" : "https://www.linkedin.com/in/vkachhawaha/", "lastName" : "Kachhawaha", "firstName" : "Vineet", "locationString" : "Kitchener, ON, Canada", "currentRole" : "Solutions Architect @AWS", "domainFeatures" : [ "finance", "consulting", "software" ], "technicalFeatures" : [ "dataEngineering", "webDevelopment", "productionization" ], "mentorshipOfferings" : [ "projects", "codeReview", "mockInterviews" ], "readme" : "Solutions Architect / Cloud Architect(AWS , GCP , Azure) / Innovation Team Lead / MLOps Expert / Full-stack ML Engineer / Lead Full Stack Engineer (MicroServices, React , Vue , Kubernetes , Node.js , Java )\n\nI work as a **Solutions Architect @AWS **. My work involves helping customers in their cloud journey, provide cloud solutions, reference architecture and developing POC. \n\n**What I expect from the mentee:**\n\nBasic/Intermediate Programming \nBasic understanding of the concepts of Machine Learning and Data Engineer \nConsistency and dedication to achieve their goal/desired job\nI am not concerned with your background. I only need consistency and hard work.\nIt would also be good if the mentee has a clear goal(at least to a certain extent) as to what they would like to do; whether it is about improving their resume, working on your skills or building a project. This will set the expectations clearly.\n\nBasically, if you want data engineering/ML engineering or MLOps then I can design a path for you.\nIf you want to learn the full stack, I can help you build a stack for you\nIf you want to improve your resume, I can guide you.\n\n**What to expect from me:**\n\nGood background in **ML Engineering, Full-Stack development , Data engineering, MLOps and building business-driven application**\nConsistency and dedication to helping you achieve your goal/desired job\nHelp you improve your **Resume**\nCan help build your profile with industry-relevant projects or other skills such as cloud computing, model deployment/production deployment stuff etc.\nTeach/Explain certain engineering concepts that are difficult to understand\nPractice: **Paired Programming | Mock Interviews | Networking & Making New Connections | Authoring Medium Articles**\nPushing you to your limits and beyond!", "isFormerMentee" : false }, { "_id" : "eXY2mKYfq6AeC8npG", "linkedInUrl" : "https://linkedin.com/in/jennettageorge", "lastName" : "George", "firstName" : "Jennetta", "locationString" : "Miami, FL, USA", "currentRole" : "Senior Principal AI Go To Market Leader, Slalom", "domainFeatures" : [ "consulting", "sports", "government" ], "technicalFeatures" : [ "nlp", "dataScience", "recommenders" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "# Sr Principal AI Leader for Slalom\n## 12 years of experience teaching, coding, and researching AI/ML/ Data Science\n\nA little about me - I have 12 years of experience and 2 masters degrees in theoretical mathematics/ AI. I currently work as a Senior Principal AI Global Go To Market Leader for Slalom, but in the past I have had many different titles from Mathematics professor to Machine Learning Engineer.\n\nI would be a good mentor for you if you are looking for someone who can help you:\n\n- advance your skills in python programming\n- build end-to-end machine learning projects\n- learn how to become a skilled AI researcher\n- prep for Data Science interviews ( I have been a Data Science hiring manager for several different companies and know exactly what most hiring managers are looking for!) \n- understand Data Governance and Data Management as a data engineer, project manager, data analyst, or data scientist\n- career coaching through any data driven career path\n\nIf you have any other questions, shoot me a message and let's start the conversation! 📚", "gitHubUrl" : "https://github.com/jennettageorge", "websiteUrl" : "http://artificiallyintelligentai.com", "isFormerMentee" : false }, { "_id" : "Bca5ZTFPG2hYjvDWW", "linkedInUrl" : "https://www.linkedin.com/in/pranjalbhatt", "lastName" : "Bhatt", "firstName" : "Pranjal", "locationString" : "Toronto, ON, Canada", "technicalFeatures" : [ "nlp", "dataScience", "deepLearning" ], "domainFeatures" : [ "healthcare", "socialMedia", "retail" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : true }, { "_id" : "MYNnvwTC88ZRGTKCb", "linkedInUrl" : "https://www.linkedin.com/in/vyasaa96/", "lastName" : "Akundy", "firstName" : "Anirudh", "locationString" : "Waterloo, ON, Canada", "currentRole" : "Machine Learning Developer(NLP)", "domainFeatures" : [ "finance", "research", "insurance" ], "technicalFeatures" : [ "nlp", "productionization", "dataScience" ], "mentorshipOfferings" : [ "projects", "codeReview", "oneOnOneCalls" ], "readme" : "### About me\nI work as a Data Scientist in the NLP RnD team. Half of my work involves developing NLP solutions to business problems and other half is spent in building data pipelines to connect various system and deploy these models in production. I love this job and hope to get you one as well! \n\n### What I expect from the mentee:\n- Basic/Intermediate ***Python*** or ***R-programming*** skills\n- Basic understanding of the concepts of ***Machine Learning and Statistics***(does not need to be an expert)\n- ***Consistency and dedication*** to achieve their goal/desired job\n- It would also be good if the mentee has a ***clear goal***(at-least to a certain extent) as to what they would like to do; whether it is about improving their resume, working on your ***Python/Data Science skills or building a project***. This will set the expectations clearly.\n - Basically if you want ***Leetcode*** then I can design a path for you.\n - If you want to learn the concepts in *** Data Science***, I can design a path for you.\n - If you want to improve your resume, I can guide you.\n\n### What to expect from me:\n- A good background on ***Natural Language Processing, Machine Learning/Deep Learning*** with a 30% focus on theory and 70% focus on practical usage and using the latest ***Python packages and SOTA techniques*** to develop solutions.\n- ***Consistency and dedication*** to help you achieve your goal/desired job\n- Help you ***improve your Resume***\n- Can help build your profile with ***industry-relevant projects*** or other skills such as cloud computing, ***model deployment/production deployment stuff*** etc.\n- Teach/Explain certain ***data science concepts that are difficult to understand***\n- Just like a Pointer in programming, \"I know a guy who knows a guy who knows a guy\". I can maybe ***connect you to relevant people if necessary***.\n\n## Note\nI strongly believe that the level of effort should be a 50-50 split between me and anyone of my mentees. I can guarantee that if this is the case then I will put an equal amount of effort as well in making sure that you are on the right track and help you build your profile to ***land your desired job in Data Science***.", "gitHubUrl" : "https://github.com/anirudh42", "isFormerMentee" : false }, { "_id" : "AZkZRSTMbx3XJQWJf", "linkedInUrl" : "https://linkedin.com/in/syntheticjohn", "lastName" : "Lee", "firstName" : "John", "locationString" : "New York, NY, USA", "currentRole" : "Data Scientist @ Motive", "domainFeatures" : [ "software", "finance" ], "technicalFeatures" : [ "dataScience", "nlp", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "codeReview" ], "readme" : "### About me\nHello! My name is John and I'm a Data Scientist at a US-based software startup with 5+ years of experience in data science and machine learning.\n\nI've worked on numerous projects spanning across diverse problem domains that include regression, classification, natural language processing, time series forecasting and deep learning.\n\n### What I expect from mentees\nI'm looking for mentees who have basic competency in python, sql and at least some data science techniques. I'm especially interested in mentoring someone from STEM, but would be open to chatting in other cases as well.\n\nI'll provide regular one-on-one meetings, interview prep and code review.", "gitHubUrl" : "https://github.com/syntheticjohn", "isFormerMentee" : false }, { "_id" : "EeJQsHCSBSho3uGZ8", "linkedInUrl" : "https://www.linkedin.com/in/joelprince/", "lastName" : "Prince Varghese", "firstName" : "Joel", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist @ Asana", "domainFeatures" : [ "healthcare", "insurance", "software" ], "technicalFeatures" : [ "dataScience", "nlp", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "codeReview" ], "readme" : "### About me\nData Scientist with hands-on and leadership experience in applying machine learning, deep learning, and other statistical techniques to solve business problems in various verticals like product, sales, marketing, operations, etc by leveraging vast structured and unstructured data sources. \n### What I expect from mentees\nI'm looking forward to helping mentees cross the final hurdle in landing their dream data-related job. I would prefer someone who has already started their data science/analyst journey by picking up certain fundamental skills and are looking to sharpen them to be ready for the job market. I can particularly help in polishing up your data science project/internship experience, clarifying important programming, statistical, and ML concepts by sharing with you practical examples, and help you be ready for interviews by doing mock coding, case study, and behavioral interviews.", "isFormerMentee" : false }, { "_id" : "vPePmFmBdPZ5sHgFD", "linkedInUrl" : "https://www.linkedin.com/in/abhimanyu-anand", "lastName" : "Anand", "firstName" : "Abhimanyu", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @ Teck Resources", "domainFeatures" : [ "naturalResources", "finance" ], "technicalFeatures" : [ "dataScience", "nlp", "deepLearning" ], "readme" : "### About me\nData Scientist @ Teck Resources, Masters in Big Data Analytics. With over 2+ years of experience and strong Acumen in Data Science, statistics, ML, and Data Engineering. \nTensorFlow certified Developer,\nAzure certified Data Scientist,\nDatabricks (Spark) and Kafka certified.", "isFormerMentee" : false }, { "_id" : "xhgkhxPCYD8q7TB9Z", "linkedInUrl" : "https://www.linkedin.com/in/aditya-lohia-ml/", "lastName" : "Lohia", "firstName" : "Aditya", "locationString" : "New York, NY, USA", "currentRole" : "Senior ML Engineer at Guise AI", "domainFeatures" : [ "selfDriving", "research", "software" ], "technicalFeatures" : [ "computerVision", "deepLearning", "productionization" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "oneOnOneCalls", "projects" ], "gitHubUrl" : "https://github.com/aditya-dl", "websiteUrl" : "http://adityalohia.me", "readme" : "Motivated and results-focused professional with experience in driving the development and implementation of business-led, technology solutions. Highly analytical with a combination of deep learning, information technology, project management, business analysis, and team leadership skills successfully driving the effectiveness of AI in business operations.\n\nMy areas of expertise include:\n\n● Computer Vision\n● Deep Learning \n● GitHub\n● Software Development Life Cycle (SDLC)\n● Python\n● TensorFlow\n● PyTorch\n● TensorRT", "isFormerMentee" : false }, { "_id" : "hGbuh8qvfP6xiKf8s", "linkedInUrl" : "https://www.linkedin.com/in/duncanhaywood/", "lastName" : "Haywood", "firstName" : "Duncan", "locationString" : "San Diego, CA, USA", "currentRole" : "Machine Learning Engineer at Wealth Management Firm", "domainFeatures" : [ "finance" ], "technicalFeatures" : [ "timeSeries", "dataScience", "tabular" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "codeReview" ], "readme" : "### About me\nMachine Learning Engineer @ Wealth Management Firm \n### My experience\n- Mentoring\n- Data Science.\n- Machine Learning Engineering.\n\n“Words cannot describe how amazing Duncan is as a tutor. You can really tell that he LOVES to teach and help out students! He would go out of the way to help you out and make sure you understand.” - Rao Effendi. \n\nI landed a Data Scientist position in under one year of self study. I am looking to share my knowledge, top resources, guidance and unique curriculum for reaching this point. For you, this will consist of high levels of self study, reading through documentation and continually working on projects with a results oriented mindset. \n\nMy credentials include skill in:\n- Data Science. \n- Machine Learning Engineering.\n- Technical Interview Preparation.\n- Planing paths into data science career.\n- Resource recommendations.\n- Machine Learning Theory. \n- Professional Development.\n- Machine Learning use cases: teaching where machine learning is applicable.\n\nThank you for Investing in your success.\n\nI’m looking forward to ensuring you succeed in your goals. \n\n### What I expect from mentees\nI am looking for students who wish to learn through projects primarily and who are looking to step into business-value centric work. Over the next year, I will be looking for internships and hires, and I will draw upon my mentees first and foremost. I intend to provide resources, guidance, occasional technical help and help design paths to professional level skills.", "gitHubUrl" : "https://github.com/duncan-haywood", "isFormerMentee" : false }, { "_id" : "itLANypwdiPyxeie9", "linkedInUrl" : "https://www.linkedin.com/in/nasutton/", "lastName" : "Sutton", "firstName" : "Nathan", "locationString" : "Asheville, NC, USA", "currentRole" : "ML Engineer @ Inflo Health", "domainFeatures" : [ "healthcare", "insurance", "saas" ], "technicalFeatures" : [ "productionization", "dataScience", "nlp" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "oneOnOneCalls", "networking", "projects" ], "readme" : "## Hi!\nMy name is Nate and I am currently the technical co-founder of a [healthcare startup](https://inflohealth.com/). I have been working at the intersection of data science and healthcare for the past eight years. My primary focus is reducing technological barriers for clinicians so they can get back to taking care of their patients.\n\nBefore this, I worked as an educator in both formal and informal environments. I have enjoyed carrying this vein into data science by mentoring people looking to break into the field. I have helped 25 of my mentees transition to full-time roles in industry. This includes people fresh out of undergrad all the way through mid-career pivots. Here are just a couple...\n- Data Scientist @ Ezoic - https://www.linkedin.com/in/thomas-b-turner/\n- Data Scientist @ Affirma - https://www.linkedin.com/in/artun-alparslan/\n- Data Scientist @ Department of Defense - https://www.linkedin.com/in/chantelchang/\n- Data Scientist @ Novartis - https://www.linkedin.com/in/ennis-kurt/\n- Data Science Lead @ Accenture - https://www.linkedin.com/in/will-middlebrook/\n- Data Science Manager @ Capgemini - https://www.linkedin.com/in/sethi-richa/\n- Analytics Engineer @ Innovu - https://www.linkedin.com/in/jv-kyle-eclarin-1444b115b/\n- Competitions Architect @ Datacamp - https://www.linkedin.com/in/rmontemayor/\n- NLP Research Engineer @ RadAI - https://www.linkedin.com/in/jzackallen/\n\n\n### What I expect from mentees\n__10 plus__ hours of work per week. \n__Honesty__. I'm here to help and can only ask we communicate openly. \n__Preparation__. We'll meet every week and maximize the value of our time with an agenda. \n\n### Timeline\nI generally take on mentees for __3-6 months immediately prior to starting a full-time role__ (average: 4 months). If you have constraints that lengthen your timeframe to your next position (e.g. you graduate next year, you're looking for a summer internship), then please hold off your application.\n\n### What I can help you with\n__Portfolio development__. The best way to cold-start your transition is to build a __useful data product__. I can help you in all stages from the design, coding, and deployment of your portfolio. The top tier teams in industry are developing products, and so we will emphasize you can do product work with your portfolio.\n- We will collect data to solve a novel problem (vs. static data for a canned problem)\n- Your data will rest in a database (vs. files)\n- Your code will work everywhere (vs. only where it is written)\n- We'll emphasize the utility of your product (vs. the methods that solved it)\n- We'll deploy your model in an application (vs. a Jupyter notebook)\n\n__Interview preparation__. I have developed the data science interview material and taken the lead in technicals in my last three positions. There is a lot of uncertainty in the market in how to screen for candidates, but I'll help you cut through to the core motifs to expect in a technical. \n\n__Code reviews__. We'll use some combination of Python, R, and SQL. We'll collaborate in a public-facing repository and work together asynchronously through pull requests. \n\n__Job Search__. In addition to my own network's contacts, I can help you find the side door for your application. \n\n### I am a human\n\nI work remotely and live in the mountains outside Asheville, NC. My wife runs our farm. We have dozens of sheep and chickens running around at any point in the year.", "gitHubUrl" : "https://github.com/nathansutton", "websiteUrl" : "https://medium.com/@nasutton", "isFormerMentee" : false }, { "_id" : "bRpWJDyupprzrom6J", "linkedInUrl" : "https://www.linkedin.com/in/akashani/", "lastName" : "Kashani", "firstName" : "Amir", "locationString" : "Washington, DC, USA", "currentRole" : "Director of AI and Digital Products @StanleyBlack&Decker", "domainFeatures" : [ "research", "consulting", "manufacturing" ], "technicalFeatures" : [ "anomalyDetection", "dataScience", "computerVision" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "mockInterviews" ], "readme" : "### About me\nLeading the development of big data platform bringing ai to manufacturing", "isFormerMentee" : false }, { "_id" : "Anm2i8Mgaj38K895g", "linkedInUrl" : "https://www.linkedin.com/in/haritha-g/", "lastName" : "Gangavarapu", "firstName" : "Haritha", "locationString" : "Reston, VA, USA", "currentRole" : "Data Analytics Consultant", "domainFeatures" : [ "finance", "software" ], "technicalFeatures" : [ "nlp", "dataScience", "deepLearning" ], "isFormerMentee" : false }, { "_id" : "icLaCEXeKt2BtGbSK", "linkedInUrl" : "https://linkedin.com/in/soodgaurav", "lastName" : "Sood", "firstName" : "Gaurav", "locationString" : "Seattle, WA, USA", "domainFeatures" : [ "healthcare", "research", "transportation" ], "technicalFeatures" : [ "dataScience", "nlp" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking", "projects" ], "isFormerMentee" : false }, { "_id" : "YrwPd5XcLKzab9Wgi", "linkedInUrl" : "https://www.linkedin.com/in/junweih/", "lastName" : "Huang", "firstName" : "Junwei", "locationString" : "Toronto, ON, Canada", "currentRole" : "Principal Data Scientist @ Mastercard", "domainFeatures" : [ "finance", "research", "consulting" ], "technicalFeatures" : [ "dataScience", "deepLearning", "recommenders" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### Hello\nMy name is Junwei, and I had 12+ years diverse experience in data-driven analytics. If you are experiencing some rejections in your job hunting, here is a quote for you \"I never lose, I either win or learn\". Please feel free to [connect](https://www.linkedin.com/in/junweih/) and I can help. \n\n### About me\nI am a **principal data scientist** at Mastercard leading and developing data-driven solutions in Azure & Azure ML, as well as mentoring junior data scientists. Before that I was a **senior data scientist** in RBC Data & Analytics building 👉deep learning and 👉reinforcement learning models for recommendation and personalization business cases and a **senior manager, data scientist** at Scotiabank delivering scalable data-driven solutions and actionable insight serving the Global Risk business lines. Prior to joining financial sector, I spent over 7 yrs in a global technical consulting firm as a **senior engineer consultant** and about 2 yrs in a national research laboratory as a **visiting research scientist**. So I wear many hats: research scientist, software developer, product manager, business developer, and certainly data scientist and machine learning engineer. I have a **MSc in computer science** specialized in machine learning and a **PhD** in geophysics specialized in computational seismology. \nMy experiences of training 100s of professional engineers around the globe and tutoring graduate & senior students from University of Toronto have shaped my philosophy of mentoring. **I believe if I did it, I can help you do better**. I will be your co-pilot helping you lift off to a successful career.\n### Technical Skills\n* **Machine Learning:** \t\tScikit-Learn, PyTorch, Numpy, Pandas\n* **Big Data:**\t\t\tApache Spark, Apache Hive, SQL\n* **Programming:** \t\tPython, Scala, C, C++\n* **Tools and Platforms:** \tLinux, AWS, Azure, Docker, Jira\n\n### What I expect from mentees\n*\t**Self-motived and are committed to >10 hrs per week** on their projects. \n*\tAlready comfortable with **Python** or some other programing languages and **Scikit-Learn** (for data science role only)\n*\tCome from **math, physics or other quantitative STEM field**\n\n### What I can help you with\n* **Career Planning**. I came a long way from a student to a data scientist. Have you found your narratives?\n* **Prep interviews**. I have interviewed Data Scientists and Data Engineers for both junior and senior positions at my current job. I can share with you how hiring managers decide who to hire. \n* **Code reviews**. I code and review others’ code (Python, Scala and C/C++). Like speaking, how you say it reveal a lot about you. \n* **Presentations**. Data science is about story telling. Your presentation skill is part of your communication skills. If you are introvert like me not always visible in social environment, you’d better have your presentation skill polished. \n* **Networking**. I did “cold calls” on Linkedin and grow professional network from ground up. I can share with you how to network professionally, and why do some networking work and some don’t.\n\n### What if I have zero spot\n* If you are really passion about data science and machine learning, please feel free to reach out on [LinkedIn](https://www.linkedin.com/in/junweih/) or on SharpestMind. I am happy to support you.", "isFormerMentee" : false }, { "_id" : "Z8EYJ8TJqYqZKPe6X", "linkedInUrl" : "https://www.linkedin.com/in/deanslee", "lastName" : "Lee", "firstName" : "Dean", "locationString" : "Cambridge, MA, USA", "currentRole" : "Computational Biologist at HiFiBiO Therapeutics", "domainFeatures" : [ "healthcare", "research" ], "technicalFeatures" : [ "dataScience", "visualization", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "networking" ], "readme" : "### What I expect from mentees\n\nYou should be able to code in R at an intermediate level and have taken at least college biology. You should have some interest in impacting patient outcomes through computational biology.\n\n### What You'll Get From Me\n\n1. We will put into words your personal motivations for seeking a computational biology role.\n2. I will provide an overview of the different flavors of bioinformatics/computational biology roles currently in demand in biotech/pharma companies.\n3. We will select a handful of job descriptions from LinkedIn as examples of roles that fit you. We will identify skills central to these job descriptions, then brainstorm a relevant project that showcases those skills.\n4. I can point you to the key resources needed to complete that project. If you already have a relevant project of your own, I can help you figure out which parts to emphasize. \n5. We will practice framing your project as a compelling story to tell during the application/interview process.\n6. I will help you edit your resume and LinkedIn profile, streamline your presentation for interviews, and negotiate offers.\n\nMost engagements will be 6-8 weeks, with weekly 1.5-hour sessions. These terms can of course be tweaked based on each individual's situation.", "isFormerMentee" : false }, { "_id" : "TZBm3RkYoQKouDvAQ", "linkedInUrl" : "https://www.linkedin.com/in/farid-hassainia-ca/", "lastName" : "Hassainia", "firstName" : "Farid", "locationString" : "Montreal, QC, Canada", "currentRole" : "IceVisionCo-Creator. Subject Matter Expert in AI/DL Specialized in Computer Vision, NLP, and MLOps", "domainFeatures" : [ "software", "devtools", "research" ], "technicalFeatures" : [ "computerVision", "deepLearning", "nlp" ], "mentorshipOfferings" : [ "projects", "oneOnOneCalls", "networking", "codeReview", "mockInterviews" ], "readme" : "### Testimonials\nFarid has an extensive knowledge of computer vision and object detection, open-source software development, and effective communication on social media. \n\nHis deep knowledge of computer vision and especially object detection, helped me quickly get up to speed and use state of the art architectures in my own work. \n\nHis unique combination of technical and social skills helped me significantly to communicate my work on social media, significantly increasing my network on Twitter and LinkedIn. \n\nThroughout the job hunt, which can be cold and lonely at times, he has always been by my side supporting me any way he could, and contributing his deep expertise in computer vision. \n\nFarid is both a good mentor and friend and anyone would be lucky to work with him.\n\nKrishan Rajaratnam, PhD.\n\nData Scientist at Huawei Canada\n\n------------\nFarid has solid knowledge and experience in Deep Learning, specifically in Computer Vision. \n\nHe is an excellent mentor. \n\nHe provides guidance and encourages self-learning. He welcomes questions and shares his time and insight in answering them. \n\nMaria Rodriguez, MD.\n\nA surgeon, educator, and researcher.\n\n### About me\nI help my mentees to get technical skills aligned with industry demand, share their work, and build a dynamic network that helps them to be discovered by more people/companies.\n\nHey, I'm Farid. I'm the co-creator of IceVision: an AI Computer Vision Framework. I also built a 700+ member community around it.\n\nI helped many mentees to reach their goals very quickly. Many of my mentees received job offers in as fast as 2 weeks of coaching.\n\nI help them get there by applying the Science of Success Approach: developing both technical skills and non-technical skills, and channeling the reception of their performance.\n\nThe success of my mentees is built on teamwork and a shared vision. I help them develop their skills, and fill the gap to meet the industry requirements to the best of their ability. I design a system that allows them to reach their goals in the short term while keeping an eye on their long-term aspiration.\n\nUsing an operating system that I tailored to each of my mentees, I managed to help my mentees to get some exciting positions in a matter of weeks. \n\nDon't just take my word for it. Read some of the testimonials I received: https://www.fastpath.one/testimonials\n \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python, have a basic background in Deep-Learning, and are willing to build strong skills in the end-to-end workflow stages, from collecting data, training, and monitoring models, to deploying them. I’m interested in highly motivated individuals.\n\nFinally, I will set you on a clear path to success based on your skills and goals.", "gitHubUrl" : "https://github.com/airctic/icevision", "websiteUrl" : "https://fastpath.one/testimonials", "isFormerMentee" : false }, { "_id" : "3s9CKQbA9mv4oktW5", "linkedInUrl" : "https://www.linkedin.com/in/wernerchao/", "lastName" : "Chao", "firstName" : "Werner", "locationString" : "Toronto, ON, Canada", "currentRole" : "Deep Learning Engineer @Deeplite Inc.", "domainFeatures" : [ "finance", "software", "media" ], "technicalFeatures" : [ "computerVision", "deepLearning", "productionization" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\ncurrently @Deeplite Inc.\nSpecialize in computer vision, model compression and deploying models. \n### What I expect from mentees\nI'm looking for curious individuals who are interested in computer vision, with good fundamentals in Python, machine learning, and deep learning, and willing to commit 10~20 hours a week on an end-to-end computer vision project.\nI am a hands-on person, so I will do pair coding, code reviews, one-on-one supports, help you through a model deployment process using various cloud tools.\nI do have specific projects setup that you can join right away (models you deploy will be used real users) or we can brainstorm together projects of your own likings.\nI am most interested in working with individuals with curiosity and grit.", "gitHubUrl" : "https://github.com/wernerchao", "isFormerMentee" : false }, { "_id" : "GGtWcrBkJ2BNYK4pJ", "linkedInUrl" : "https://www.linkedin.com/in/vijayghanapaati/", "lastName" : "Ghanapaati", "firstName" : "Vijay", "locationString" : "Toronto, ON, Canada", "technicalFeatures" : [ "nlp", "dataScience", "reinforcementLearning", "visualization", "analytics" ], "domainFeatures" : [ "finance", "sports", "eCommerce", "customerSupport", "software", "media" ], "currentRole" : "Product Manager (Reporting and Analytics) @ GreenSlate", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\n\nMy name is Vijay and I work as a Product Manager (Reporting and Analytics) @ GreenSlate.\n\nWith more than 10 years of working professionally in various industries I bring to the table a wealth of experience, knowledge I gained through my Masters in Engineering and the skills I acquired through the Data Analytics certifications. I am here to help you unlock your true potential. I have been in your shoes trying to pivot my career and landing my dream job. If I can do it, You can do it too and I am here to help you \n### What I can help with\n\nI am here to guide you to reach your goal, whether its breaking into the Data Industry with your first job or a promotion that you have been eyeing to achieve. I will provide you crucial guidance with projects, industry insights and interview prep. \n### What I expect from mentees\n\nI am looking to help people who are eager to learn, are motivated to achieve their goal. I like individuals who know what they want. It would be good if you have a basic understanding of few coding tools such as Python, SQL or any other data related programming language.", "isFormerMentee" : true }, { "_id" : "qsFFKvHRYJKqLZWrp", "linkedInUrl" : "https://www.linkedin.com/mwlite/in/kristen-bystrom-45583aa9", "lastName" : "Bystrom", "firstName" : "Kristen", "locationString" : "Burnaby, BC, Canada", "currentRole" : "Data Science Analyst @Yelp", "domainFeatures" : [ "retail", "gaming", "software" ], "technicalFeatures" : [ "dataScience", "analytics", "timeSeries" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "projects", "codeReview", "oneOnOneCalls" ], "readme" : "### About me\nData Science Analyst @Yelp; formerly @lululeom, @electronicarts, @statisticscanada \n### What I expect from mentees\nI'm especially interested in mentoring someone who identifies as a minority. \nWe will have a weekly check-in, and I will help assist you with creating a portfolio project, networking, cracking the coding interview, resume, cover letter, and general job search advice.", "isFormerMentee" : false }, { "_id" : "vtCy25iFGo2qidcsB", "linkedInUrl" : "https://www.linkedin.com/in/ty-shaikh/", "lastName" : "Shaikh", "firstName" : "Ty", "locationString" : "New York, NY, USA", "currentRole" : "Analytics Lead at LifeMD", "domainFeatures" : [ "healthcare", "finance", "edtech" ], "technicalFeatures" : [ "analytics", "visualization", "dataScience" ], "mentorshipOfferings" : [ "oneOnOneCalls", "networking", "projects", "codeReview", "mockInterviews", "resumeAndLinkedInReview" ], "readme" : "### About me\nAnalytics lead at a telehealth startup with a non-traditional background. I used to be a product manager, then started doing lots of product analytics work on the job. I also have a non-STEM degree, so it was an uphill battle to change careers. \n\n### What I expect from mentees\n\n- 10 hrs or more of work per week.\n- Open and direct communication. Let me know if you can't make a meeting or something is unclear.\n- Be prepared for meetings and do assigned tasks. I will be working hard to get you a job!\n\n### What I can help you with\n\n- **Interview prep**. I'm currently a lead data analyst, but I've interviewed for data engineering and data scientist roles.\n- **Projects**. If you don't have analytical or technical work experience, we'll build an end-to-end project together.\n- **Networking**. I will utilize my network and share different outreach strategies with you.", "isFormerMentee" : false }, { "_id" : "XBc6PKzhC4mDtzfjL", "linkedInUrl" : "https://www.linkedin.com/in/shlbatra/", "lastName" : "Batra", "firstName" : "Sahil", "locationString" : "Toronto, ON, Canada", "currentRole" : "Sr Data Scientist, Shopify", "domainFeatures" : [ "digitalMarketing", "cybersecurity", "infrastructure" ], "gitHubUrl" : "https://github.com/shlbatra", "mentorshipOfferings" : [ "codeReview", "networking", "oneOnOneCalls", "projects", "mockInterviews" ], "technicalFeatures" : [ "deepLearning", "dataEngineering", "productionization" ], "readme" : "## Data Scientist @Shopify\n### Passionate about building End to End AI systems\n\n#### What to expect\nI'm looking for mentees that are comfortable with Python and have covered some Machine Learning / Deep Learning courses. I would like to commit to 6-8 hours per week helping develop an end to end Data Science project. I have ideas around Cybersecurity but open to other ideas from mentees as well. I will be involved in code reviews and weekly 1-1 meetings to guide through the project lifecycle.", "isFormerMentee" : false }, { "_id" : "xskyxh6HadzqeQC9K", "linkedInUrl" : "https://www.linkedin.com/in/christopher-luiz/", "lastName" : "Luiz", "firstName" : "Christopher", "locationString" : "Cleveland, OH, USA", "currentRole" : "Director, Solutions Architecture @Monitaur.ai", "domainFeatures" : [ "insurance", "research", "saas" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nDirector, Solutions Architecture @Monitaur.ai. Former DS/MLE/ML Product Manager at Progressive, DS @ Denver Post, startup founder, and PM. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 (and preferably 20+) hours per week to their personal development efforts. I can assist with identifying, scoping, and delivering a full-stack Data Science project, focusing on business problem identification and scoping, or going deep with MLE and MLOps type work. \n\nI will provide code-review, regular one-on-one meetings, networking, and job and role identification assistance. I prefer mentees with a quantitative background, whether acquired via academic background, on-the-job, or self-learned is less important to me than personal drive. I will push you to work hard and fast - perhaps faster than you may be comfortable with, and will practice radical candor. You'll need to bring a positive attitude, an openness to constructive criticism, and the will to succeed. I'll help you find the role you deserve if you are willing to put in the work.", "isFormerMentee" : false }, { "_id" : "nDhGt4E7ZR5ZpAGX8", "linkedInUrl" : "https://www.linkedin.com/in/mark-yuwei-duan-ba7abb79/", "lastName" : "Duan", "firstName" : "Yuwei (Mark)", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Engineer@RBC", "domainFeatures" : [ "finance" ], "technicalFeatures" : [ "dataEngineering", "recommenders", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nSenior Data Engineer@RBC, firmaly Senior SDE@Bytedance, Data Engineer @Scotiabank \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python or Java and willing to commit about 10 h/w on a data engineer project/ Leetcode questions. I can provide code-review, mock-up interviewif you are interested in building your Data engineer skills.I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "5nxZz5XtKcKsXyezJ", "linkedInUrl" : "https://www.linkedin.com/in/josephowens2016/", "lastName" : "Owens", "firstName" : "Joseph", "locationString" : "Franklin, TN, USA", "domainFeatures" : [ "finance", "digitalMarketing", "manufacturing" ], "technicalFeatures" : [ "dataScience", "timeSeries", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "codeReview" ], "currentRole" : "Director of Analytics", "isFormerMentee" : false }, { "_id" : "zjvP4SCEYb6mpJ8HE", "linkedInUrl" : "https://www.linkedin.com/in/jammuhendrix/", "lastName" : "Gupta", "firstName" : "Ankit", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Science Technical Lead @ Apple", "domainFeatures" : [ "socialMedia", "eCommerce", "software" ], "technicalFeatures" : [ "dataScience", "analytics", "dataEngineering" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist with 10+ years of experience scaling data at top tier Silicon Valley companies. decade of experience scaling data at top tier Silicon Valley companies. I’ve led projects spanning from Machine Learning, Data Engineering, to A/B Testing and Data Visualization. I have personally conducted over a 100 interviews for data science candidates at various companies I’ve been employed at. I would love to use my experience to help you realize your data science career.\n \nI have multiple publications and experience in projects ranging from A/B Testing, Data Infrastructure, KPI, Dashboarding, ML/AI products, Image Processing, Natural Language Processing, Neural Networks.\n\nMy education background is applied statistics and electrical engineering.\n\nLanguages: Python, Databases: PostgreSQL, MySQL, SQLite, Redis, MongoDB, Cassandra, Hive, BigTable, Elasticsearch Frameworks: Spark, Hadoop Containerization: Docker, Kubernetes Cloud: AWS, GCP\n\n### What I expect from mentees\nI'm looking for mentees who are comfortable with SQL, Python and basic machine learning. The mentee should be willing to commit at least 10 hours a week on brushing up fundamentals, working on projects and improving their story telling. I will provide guidance on a) how to leverage data at different companies and functions b) Data Science challenges at different stages of a company c) What makes a great data scientist. I will create a learning plan, sample project outlines, conduct mock interviews, help brush up resume and add finesse to your story telling skills.", "isFormerMentee" : false }, { "_id" : "TX3PP3tdHWhjYeaYb", "linkedInUrl" : "https://www.linkedin.com/in/karenouyang/", "lastName" : "Ouyang", "firstName" : "Karen", "locationString" : "New York, NY, USA", "currentRole" : "Data Science Consultant @ Guidehouse", "domainFeatures" : [ "consulting", "government" ], "technicalFeatures" : [ "analytics", "tabular", "visualization" ], "mentorshipOfferings" : [ "networking", "codeReview" ], "readme" : "### About me\nHi! I'm Karen. I'm currently a consultant at Guidehouse working in the public sector. Before that, I was a data science intern at Siemens. I am a Metis Data Science Bootcamp grad and a former math teacher in NYC public schools. I love learning and helping others learn new things. \n### What I expect from mentees\nI'm looking for mentees who are career changers or anyone trying to break into the data science/data analytics world. Ideally, a mentee should have some knowledge with Python and have an open mind. I will provide networking support and can also code-review. We can schedule one-on-one meetings on a bi-weekly basis which can be adjusted to fit our schedules. I also would like my mentees to keep some sort of journal to write down their thoughts as we grow and learn together.", "isFormerMentee" : false }, { "_id" : "S8wbeTApsBg7tEHXW", "linkedInUrl" : "https://www.linkedin.com/in/xiaolujiang1024", "lastName" : "Jiang", "firstName" : "Xiaolu", "locationString" : "Boston, MA, USA", "currentRole" : "Senior Data Scientist at Shopify", "domainFeatures" : [ "eCommerce", "finance", "edtech" ], "technicalFeatures" : [ "dataScience", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "networking", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\nSenior data scientist at Shopify, ex-Amazon, ex-E-learning startup, Master's in Economics from UCLA.", "isFormerMentee" : false }, { "_id" : "cf6uLZXa6iWcqbuH5", "linkedInUrl" : "https://www.linkedin.com/mwlite/in/kislaya-singh", "lastName" : "Singh", "firstName" : "Kislaya", "locationString" : "Chicago, IL, USA", "currentRole" : "Data Scientist @ Deloitte", "domainFeatures" : [ "finance", "healthcare", "software" ], "technicalFeatures" : [ "dataScience", "nlp", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI am a Data Scientist@Deloitte with prior experience of 5+ years with Insurance, Trading, Networking and IT companies. \n### What I expect from mentees\nI'm looking for mentees at all levels ranging from new grads to the ones with any level of experience. I bring my 5+ years of professional experience in Python, Data Science and Analytics, SQL and Software Engineering for both commercial and government companies. I am an active interviewer in my company so I am excited to help you with mock interviews, Data Science and Python concepts, Resume review, one-one meetings and can probably help the most if you're interested in building your modelling and programming skills. I am open to mentees from STEM or Non-Stem backgrounds.", "isFormerMentee" : false }, { "_id" : "7W27iTvpyt3ps54Jy", "linkedInUrl" : "https://www.linkedin.com/in/omaryattia", "lastName" : "Attia", "firstName" : "Omar", "locationString" : "Waterloo, ON, Canada", "currentRole" : "Machine Learning Engineer @ Apple", "domainFeatures" : [ "software", "travel", "research" ], "technicalFeatures" : [ "dataEngineering", "deepLearning", "dataScience" ], "readme" : "### About me\nMachine Learning Engineer @ Apple; Previously: University of Waterloo, Booking.com and Amazon Web Services. Research, startup and corporate experience in data science and machine learning. \n\nPassionate about helping people develop their careers, build cool systems, and break into the data economy.", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "gitHubUrl" : "https://github.com/oattia", "isFormerMentee" : false }, { "_id" : "PCxicmizqcZ5tgKtN", "linkedInUrl" : "https://www.linkedin.com/in/khobaibzaamout/", "lastName" : "Zaamout", "firstName" : "Khobaib", "locationString" : "Calgary, AB, Canada", "currentRole" : "Data Science Architect @Rackspace", "domainFeatures" : [ "research", "consulting", "socialMedia" ], "technicalFeatures" : [ "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Science Architect @Rackspace, Data Scientist @Onica, Data Science Expert Advisor @FLYHT, Research Advisor @Chaordix. Hold an MSc in ML and a Ph.D. in Data Science. I mentored several researchers, professionals and students, helping them find a good career. \n### What I expect from mentees\nWhere there is a will there is a way. I only expect my mentees to have the drive to do what it takes to reach their goals.", "isFormerMentee" : false }, { "_id" : "Dof4jmdftZb6aMrwT", "linkedInUrl" : "https://www.linkedin.com/in/sarfaraz-hussein-ph-d-9298648/", "lastName" : "Hussein", "firstName" : "Sarfaraz", "locationString" : "Atlanta, GA, USA", "currentRole" : "Applied Scientist @ Amazon", "domainFeatures" : [ "healthcare", "cybersecurity", "eCommerce" ], "technicalFeatures" : [ "computerVision", "deepLearning", "dataScience" ], "mentorshipOfferings" : [ "projects", "mockInterviews", "oneOnOneCalls" ], "readme" : "### About me\nPh.D. in Computer Science, Research areas: Computer Vision, Deep Learning, Machine Learning, Reinforcement Learning. Teacher, Mentor and Speaker \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "ysXv8mRszSyCA66cK", "linkedInUrl" : "https://www.linkedin.com/in/dylan-lawless/", "lastName" : "Lawless", "firstName" : "Dylan", "locationString" : "Nashville, TN, USA", "currentRole" : "Data Analyst", "domainFeatures" : [ "healthcare" ], "technicalFeatures" : [ "visualization", "tabular", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls" ], "readme" : "I am a data analyst working in Nashville,Tennessee for Specialty Dental Brands, a dental service organization that provides proven operational support, technology, and overall practice management. I provide company-wide benchmarking and analysis for various dental practice across the country. The tools and languages in which I specialize are Power BI, Tableau, SQL, Alteryx, and Python. I am looking to mentor an aspiring data analyst with networking, interview preparation, code review, projects, or anything you may need to be successful.\n\nI graduated from the University of Tennessee in 2019 and have been living and working in Nashville since. Before my position at Specialty Dental Brands, I worked for HealthTrust as a data analyst using various tools to identify savings opportunities through $45 Billion in member spend. \n\nI expect 1-10 hours of work per week from my mentees. Based on your expectations and from me, we will compose a lesson plan to identify your strengths and weaknesses as well as overall fine-tuning of your skills. I am also more than happy to help any new, inexperienced, or novice data analysts trying to break into the field.", "isFormerMentee" : false }, { "_id" : "2WpbaEg3t9DyxKvdH", "linkedInUrl" : "https://www.linkedin.com/in/haingocnguyen/", "lastName" : "Nguyen", "firstName" : "Zach", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @Trapeze Group", "domainFeatures" : [ "transportation" ], "technicalFeatures" : [ "dataScience", "nlp" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist @Trapeze Group. Check out my profile: https://zachnguyen.github.io/ \n### What I expect from mentees\nI'm looking for mentees who:\n1. Are driven and hungry to find a suitable role and are willing to commit at least 20 hours/week in DS projects and networking.\n2. Has familiarity with manipulating tabular data with Pandas and SQL. Has at least some exposure to using Python and scikit-learn for Machine Learning.\n3. Are generally resilient, humble and curious.\n\nI can help you with:\n1. Code review and directions on how you might approach technical hurdles in your project.\n2. Provide advice on tailoring your job hunting strategy, help you with mock interview.\n3. Get you exposed to other professionals in the industry.\n\nYou are responsible for:\n1. Your own progress in all these facets. Remember you get back whatever you put in.\n2. Reflecting and helping me understand what your obstacles are.", "isFormerMentee" : false }, { "_id" : "EKP88fTPTmcpR5dzv", "linkedInUrl" : "https://www.linkedin.com/in/izukimat/", "lastName" : "Matsuba", "firstName" : "Izuki", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Research Engineer", "domainFeatures" : [ "software", "selfDriving", "cybersecurity" ], "technicalFeatures" : [ "computerVision", "dataScience", "deepLearning" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "codeReview", "mockInterviews", "networking" ], "isFormerMentee" : false }, { "_id" : "skLZiF6sbgHcaXAox", "linkedInUrl" : "https://www.linkedin.com/in/saeedgarmsiri/", "lastName" : "Garmsiri", "firstName" : "Saeed", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist @ Wave HQ", "domainFeatures" : [ "finance", "eCommerce", "transportation" ], "technicalFeatures" : [ "nlp", "dataScience", "productionization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "codeReview", "projects", "mockInterviews" ], "readme" : "### About Me\nI have been working in the field of ML for more than 7 years. Mainly focused on natural language processing and financial predictive models. Moreover, worked on customer behavior analysis, churn prediction, and recommender system problems in the past.\n\nPh.D. withdrawal UofT\n\n### What I expect from mentees\nI'm looking for mentees that already know computer science basics and at least one programming language(Python is preferred).\nI will provide code-review sessions and one-on-one calls. Likewise, I can probably help the most if you're interested in building your machine learning, statistics, and software engineering skills. \nPlease don't hesitate to drop me a text on Slack", "isFormerMentee" : false }, { "_id" : "AJAAWJfaAZLLDridp", "linkedInUrl" : "https://www.linkedin.com/in/denyslinkov", "lastName" : "Linkov", "firstName" : "Denys", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Architect @ Voiceflow", "domainFeatures" : [ "finance", "transportation", "saas" ], "technicalFeatures" : [ "dataEngineering", "productionization", "webDevelopment" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking", "projects" ], "readme" : "### About me\nHi, good to meet you! My main strengths as a mentor are asking questions and explaining things.\n\nMachine Learning Architect @ Voiceflow, formerly Senior Cloud Architect at RBC\n\nHave done a bunch of random things in software dev, cloud and data science \n### What I expect from mentees\nI'm looking for mentees who are excited to learn and build things! If you are comfortable with basic programming and are willing to commit >10 hrs per week on a full-stack Data Science project, let’s chat!\n\nI will provide regular one-on-one meetings and code-reviews, ranging from model development to deploying ML systems. I can help with interview prep, networking advice and presentations.", "isFormerMentee" : false }, { "_id" : "63sKHyCMxgJ44wd5X", "linkedInUrl" : "https://www.linkedin.com/in/anuragsrivastava28", "lastName" : "Srivastava", "firstName" : "Anurag", "locationString" : "New Westminster, BC, Canada", "currentRole" : "Chief Innovation Officer @Confidential", "domainFeatures" : [ "healthcare", "retail", "finance" ], "technicalFeatures" : [ "dataScience", "deepLearning", "reinforcementLearning" ], "mentorshipOfferings" : [ "projects", "mockInterviews", "codeReview", "networking", "oneOnOneCalls" ], "readme" : "### About me\nSenior Data Scientist and AI Researcher with expertise in creating innovative business solutions, leading & developing DS teams, building Decision Support Systems and speaking to non-technical audience with ease. \n### What I expect from mentees\nWhether you are an experienced DS professional or someone who wants to learn and transition into AI / ML, I have immense experience training / mentoring individuals with different levels of expertise. I am interested in your learning and growth and I am willing to put in upto 30 hours every week if you are up for it. My mentees are working in companies like Boston Consulting Group, Oracle, Genpact, Vodafone, Infosys, E&Y etc.\n\nYou can speak to me about interviews, code - reviews, live projects, one on one meetings etc. as per your requirement and schedule. I can also cover various domains that may be of interest to you like Healthcare, Retail, BFSI, Manufacturing, Real Estate, Mining etc. \n\nWhat do I expect from mentees? - Just the willingness to learn :) Let's have a word, shall we?", "isFormerMentee" : false }, { "_id" : "AYqFBHywCFmXqdXWq", "linkedInUrl" : "https://www.linkedin.com/in/oakkas/", "lastName" : "Akkas", "firstName" : "Oguz", "locationString" : "Denver, CO, USA", "currentRole" : "Senior Machine Learning Software Engineer @ WindRiver", "domainFeatures" : [ "research", "insurance", "government" ], "technicalFeatures" : [ "dataScience", "devops", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nMachine learning engineer @ WindRiver. Had NLP Engineer position at @Pinnacol Assurance. Worked as researcher @ NIOSH/CDC. \n### What I expect from mentees\n'm looking for mentees that are familiar with Programming or just getting into that and willing to commit >2 hrs per week on a full-stack Data Science project. I can provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "wHD3fhYSSXM9odhKS", "linkedInUrl" : "https://www.linkedin.com/in/jiarongivancui/", "lastName" : "Cui", "firstName" : "Ivan", "locationString" : "Dublin, CA 94568, USA", "currentRole" : "Data Scientist @ AWS", "domainFeatures" : [ "finance", "manufacturing", "healthcare" ], "technicalFeatures" : [ "dataScience", "nlp", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects", "codeReview" ], "readme" : "### About me\nData Scientist @AWS; formerly @Bayer, @Apple, @Illumina, and @Genentech. \n### What I expect from mentees\nI'm looking for DS or MLE mentees that are fairly comfortable with Python with knowledge/experience on different ML/DL libraries, who is also willing to commit 5-10 hrs per week on a full-stack Data Science project. I will provide career coaching on all stages of job hunting, including code review, regular one-on-one meetings, and mock interview sessions. I can also help if you're interested in developing your cloud experiences, and how to take a model to production on the cloud. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "e9tRRYLYutc2m8Mf9", "linkedInUrl" : "https://www.linkedin.com/in/nrindler/", "lastName" : "Rindler", "firstName" : "Nadav", "locationString" : "Madrid, Spain", "currentRole" : "Data Scientist @ Red Cross", "domainFeatures" : [ "digitalMarketing", "government", "consulting" ], "technicalFeatures" : [ "dataScience", "analytics", "tabular" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "codeReview", "mockInterviews" ], "readme" : "### About me\nData Scientist practitioner and educator @ Red Cross + Springboard. 10 years experience in quantitative & qualitative analysis. Previously served as an economic consultant to Fortune 500 companies and to USAID. Specialize in Marketing Analytics, Supervised Learning, Clustering, Time Series, Data Mining, Probability, Statistics, A/B testing, + Data Visualization. \n### What I expect from mentees\nI'm looking to work with self-starters who are willing to commit 8-10 hrs/wk to study and tackle a full-stack Data Science project. I can provide advice, code-review, and regular 1-on-1 meetings. I can help you to:\n\n•\tBuild a personalized learning plan and curriculum\n\n•\tDevelop a project portfolio\n\n•\tGain skills in specific topic areas and practice building data science workflows\n\n•\tReview your resume, cover letter, and LinkedIn\n\n•\tTrain for behavioral and technical interviews\n\n•\tThink like a coder, scientist, statistician, and consultant \n\n•\tShare industry insights into marketing analytics and the non-profit sector\n\nI'm especially interested in mentoring someone who already works in a data or product role, has some experience with coding, quantitative analysis, or STEM, and seeks to upskill to a data scientist role.\n### Recent student reviews\n> \"Nadav is a knowledgeable mentor and role model willing to share his expertise. I’ve had the pleasure of knowing him during my data science bootcamp with Springboard. Nadav took personal interest in my learning journey and provided actionable feedback while demonstrating enthusiasm for the field of data. He possesses an impressive ability to explain complex topics using accessible language, making complicated material clear and easy to understand. Every meeting with him was a productive learning experience. And, of course, his patient demeanor and positive attitude are an asset.\" - Gaby W.\n\n> \"Working with Nadav one on one has been the best investment of my time this year, even though we are on different continents! It’s helped with ideation at work, communicating data insights clearly, partnering with data scientists, how to structure thinking, and prepped me to qualify for machine learning company sponsored programs. I’ve learned what is insight, useful frameworks, and how to tell compelling data driven stories. I love my data science projects because they are on topics I care about, and having his honest feedback throughout has brought these stories to life. I’ve also learned advanced SQL and AB testing with him; he breaks down difficult concepts well. My favorite motivation chat was when he suggested I build a PowerBI dashboard with real estate data, and it only took me one weekend because I was so inspired by his speech! Nadav has given me advice on how I can work on areas of improvements so they are no longer my weaknesses, and a post mentorship plan to bring me closer to my goals. Nadav brings so much to each session, with original prescriptive ideas that gives mentees an edge to strategic/tactical advice, and he supports whatever I choose to do. I’ve had so much fun. Thank you for positioning me for success!\" - Debbie T.", "isFormerMentee" : false }, { "_id" : "dNY8BmG6exPhmmEqS", "linkedInUrl" : "https://www.linkedin.com/in/zixiao-shawn-shi-phd/", "lastName" : "Shi", "firstName" : "Shawn", "locationString" : "Ottawa, ON, Canada", "currentRole" : "Data Scientist @ Shopify", "domainFeatures" : [ "eCommerce", "research" ], "technicalFeatures" : [ "dataScience", "timeSeries", "anomalyDetection" ], "readme" : "### About me\nData Sci @ Shopify, adjunct Prof. Former academia on data-driven smart buildings. I grew up in China, spent 7 years in the U.S. then moved to Canada since 2014. I transitioned from very comfortable research positions to tech early 2020. I made this decision due to personal growth, compensation and seeking more challenges.\n\nI'm new to SharpestMinds so not yet very actively seeking mentees. I'm open to chats if you would like to receive some of my advice and experience. Especially my experience on transitioning from academia to the tech industry if it is relevant to you.\n\nI enjoy teaching and talking to others. Discussion is one of the best way to generate new ideas and make ourselves better.\n\n## The market is hot right now, so keep on keeping on and you will get your dream job some day. Cheers!\n\n\n\n#### More details about me if you are curious,\n\nOn the industry side I have:\n- Experience supporting the whole data life cycle for tech products, including:\n - Metric definition\n - Opportunity analysis\n - ETL design\n - Data project management\n - Dashboard building\n - Stakeholder communication and coordination\n - Experimentation\n - Marketing support\n - Causal inference\n - Propensity model development\n- Some example products I have supported launching are: \n - Local delivery during COVID-19, helped thousands of small business to survive during this trying time.\n - Shopify Carbon Offset, this initiative has helped offset 7k+ tonnes CO2 emission\n - A new checkout system as well as its extensions, a more extensive and efficient checkout system at Shopify\n\nOn the academia side:\n- Researched applied ML and data analytic in smart building and energy sustainability.\n- Over 35 peer reviewed publications and two best paper awards.\n- Some of my research work has been converted to industry applications used in 1000+ buildings in Canada.\n- I design and teach a course on applied data analytics at Carleton Unversity", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : false }, { "_id" : "DKbTZQu463hvA9KSG", "linkedInUrl" : "https://www.linkedin.com/in/arunasmarcinkevicius/", "lastName" : "Marcinkevicius", "firstName" : "Arunas", "locationString" : "Vancouver, BC, Canada", "currentRole" : "Data man @ TeachersLeadTech", "domainFeatures" : [ "digitalMarketing", "edtech", "humanResources" ], "technicalFeatures" : [ "dataEngineering", "dataScience", "productionization" ], "readme" : "### My experience\nThe roles I've worked in during my career include but are not limited to: \n* data scientist\n* data engineer\n* data analyst\n* project/team lead\n* business analyst\n* independent consultant. \n\n### What kind of data scientist I am\nI consider myself a generalist rather than a specialist and I like to do a little bit of everything, so I've seen data from many angles in my career. I believe a versatile, fully skilled data scientist should be able to build and deliver their data science project from zero to production: \ntranslate a real life problem into mathematical language, solve it, demonstrate a working solution, implement and deploy it. \n\n### What do I work with\nI work with data science solutions from top to bottom - starting at the conceptual and problem solving level all the way to working pipelines and applications in production. I like to work with open source technologies. My experience includes: Scala, Python, SQL, AWS cloud platform, Spark, Docker, Airflow, Elasticsearch, Redis, dbt, Bash, R and others.", "isFormerMentee" : false }, { "_id" : "MsSSZ5zonHSYmDPAM", "linkedInUrl" : "https://www.linkedin.com/in/msalmanamin/", "lastName" : "Amin", "firstName" : "Salman", "locationString" : "Toronto, ON, Canada", "currentRole" : "Partner @ Learners.ai", "domainFeatures" : [ "finance", "digitalMarketing", "software" ], "technicalFeatures" : [ "visualization", "dataScience", "analytics" ], "readme" : "### About me\nSolution architect and project manager specializing in digital transformation and revenue operations.", "isFormerMentee" : false }, { "_id" : "4a9LgsfsuNN7jc325", "lastName" : "Lam", "firstName" : "Ting Fung", "locationString" : "Mississauga, ON, Canada", "linkedInUrl" : "https://www.linkedin.com/in/lamwilton/", "technicalFeatures" : [ "nlp", "deepLearning", "timeSeries" ], "domainFeatures" : [ "software", "consulting", "research" ], "currentRole" : "Applied Research Scientist @ Crater Labs", "gitHubUrl" : "https://github.com/lamwilton", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\n\nMy name is Wilton and I am a Applied Research Scientist @ Crater Labs. I am pleased to introduce myself as an individual with a passion for interdisciplinary research and innovation. I hold a Master's degree in Computer Science and Data Science as well as a PhD in Chemistry, both from the University of Southern California. My academic journey has been enriched by my experience as a mentee of SharpestMinds and my work as an applied research scientist at Crater Labs for a year. With a deep curiosity and a love for problem-solving, I am driven to explore and contribute to the intersection of science and technology.\n\n### What I can help with\n\nWith my skills and expertise, I can offer a comprehensive mentoring service to help mentees excel in their career pursuits. I specialize in designing and implementing unique projects that are tailored to the specific domain knowledge of my mentees. By doing so, my mentees can effectively showcase their abilities and stand out from other candidates when seeking job opportunities. In addition to this, I am also equipped to provide mock interviews and resume reviews to help mentees prepare for their job search. With my support, mentees can confidently navigate the job market and achieve their professional goals.\n\n### What I expect from mentees\n\nI require that my mentees to hold a Bachelor's or Master's degree in data science or computer science, or an equivalent degree that reflects a strong foundation in these subjects. A PhD in hard sciences is also sufficient. Additionally, I expect my students to possess sufficient coding skills in Python, Pandas, and basic PyTorch or Tensorflow (Keras). These skills are considered essential requirements for securing jobs in the field of data science or machine learning. With these foundational skills, my students can confidently pursue their career goals and contribute to the ever-growing field of data science.", "isFormerMentee" : true }, { "_id" : "h3ETKih7pG4Tcr49q", "linkedInUrl" : "https://www.linkedin.com/in/ran-an07/", "lastName" : "An", "firstName" : "Ran", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist @ J.D. Power", "domainFeatures" : [ "healthcare", "consulting", "research" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "codeReview", "networking" ], "readme" : "# Hello! Thank you for visiting my page!\n\n## About me:)\nMy name is Ran An, I have more than 5 years experience of executing data-driven solution to increase efficiency, accuracy, and utility of data processing in healthcare, technology, consulting, and engineering sectors. I'm a Data Scientist currently working at Hamilton Health Sciences (HHS), a non-profit healthcare organization. At HHS, most of my projects are supporting the decision making in hospital operations and management. I am also building our data science ecosystem from the ground up, creating software orchestration and ETL pipelines, as well as automating processes. \n\nBefore I join HHS, I was working for an engineering software & consulting company called JANA Corporation, where I was partly dedicated to developing some data science tools, such as optical character recognition tool that can classify images and extract text information from them. The other part of me is working as a data engineer, I was designing data models and building up data warehouses using data vault 2.0 structure.\n\nMy data science journey wasn't always going very well. I transferred from engineering field into the data science world, and then became an enthusiast. I was struggled for a long time to land my first job in data science field. At that time, I spent almost all my spare time on my data science side projects, tuned up my python and SQL skills, reached out to people who are already working in the data science field. Now I am hoping to help you find your dream job. If you have the similar journey as me, please do not hesitate to chat with me!\n\n## My Skills\n**Programming Language**\nPython, SQL, R, C#, JavaScript (I'm learning it)\n\n**Frameworks**\nPython: NumPy, Scipy, Scikit-learn, Matplotlib, Pandas, Tensorflow (2.x), Keras, PyTorch, \nR: tidyverse\n\n**Cloud Service**\nAzure - Data lake, and data factory; Apache Airflow \n\n## What I can help you with\n**Review Resume, Decode Job posting, & Prepare for Interviews** \nI'm on the hiring committee for my team, I interview data scientists at different level and understand the key points that hiring managers are looking for. \n\n**End-to-End Data Science Projects**\nAs a data scientist, my project start from communicating with my stakeholder/SME and collecting data, end with implement the solutions and the models. In the same way, I can help you to work on a project that you interested in and guide you through. \n\n**Presentation and Visuals**\n\n**Code Review**\n\n**Networking**\n\n\n## What I expect from my mentees\n**> 10 hrs/week on project** The more the better, and the most important is persistence! \n\n**Open and Direct Communication** If you can't make a meeting or a deadline just tell me, and we can rearrange ahead of time.\n\n**Proactive** I am always here to help you, but you will take action to find the projects you are interested in, and apply the jobs you want to work. \n\n**Be Prepared** Be prepared for meetings and interviews! \n\n\n## You are probably better off with a different mentor if\n**You are looking for an NLP expert**. NLP is a very broad topic, I used the basics NLP concept successfully deployed a couple of NLP projects, but I wouldn't call myself an expert in NLP. I am still working on advancing my NLP skills :) . \n\n**You are looking for an Neural Network expert**. Same as Neural Network, I know the basics well enough, and successfully delivered a couple of image classification use cases with TensorFlow and Keras. I am still working on exploring new use cases and techniques :) .", "isFormerMentee" : false }, { "_id" : "7Z7qEoayfTBHSZbtL", "linkedInUrl" : "https://www.linkedin.com/in/jahirgutierrez", "lastName" : "Mauricio Gutierrez", "firstName" : "Jahir", "locationString" : "Toronto, ON, Canada", "currentRole" : "Computational Biologist and AI Scientist @ Absci", "domainFeatures" : [ "finance", "healthcare", "research" ], "technicalFeatures" : [ "dataScience", "analytics", "tabular" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "codeReview", "oneOnOneCalls" ], "readme" : "### About me\nComputational Biologist and AI Scientist @ Absci; formerly at Layer 6 AI, Indigo Agriculture, and Solarea Bio \n### What I expect from mentees\nI am looking for mentees interested in applications of Data Science and Machine Learning in Finance, Healthcare, or Biology. Ideally, the mentee should have **at least a Masters degree** in a strong STEM background:\n\n* Engineering\n* Chemistry\n* Physics\n* Computer Science\n* Mathematics \n\nIn addition, the potential mentee should be looking for a technical role with a high analytics or programming component (e.g. Software Engineer, Machine Learning Scientist, Data Engineer, Risk Analyst, Computational Modeler). I will commit up to 3 hours a week for regular one-on-one meetings covering the following: code-reviews, advice on how to ace technical and personal interviews, provide resources for soft skill development, mock interviews, and review potential roles/companies to assess fit and identify gaps in knowledge/job requirements", "isFormerMentee" : false }, { "_id" : "xBtz3sRydzkE9cmcF", "linkedInUrl" : "https://www.linkedin.com/in/sadidhasan", "lastName" : "Hasan", "firstName" : "Sadid", "locationString" : "Weymouth, MA, USA", "currentRole" : "Sr. Dir. of AI and Data Science", "domainFeatures" : [ "healthcare", "research" ], "technicalFeatures" : [ "nlp", "deepLearning", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "### About me\nSr. Dir. of AI @CVSHealth; Former Tech Lead @Philips AI Group", "websiteUrl" : "http://sadidhasan.com", "isFormerMentee" : false }, { "_id" : "48GDiwQg5LB8fsuKF", "linkedInUrl" : "https://www.linkedin.com/in/pshajudeen/", "lastName" : "Shajudeen", "firstName" : "Shafeeq", "locationString" : "Boston, MA, USA", "currentRole" : "Advanced Data Scientist @ Honeywell Research and Technology", "domainFeatures" : [ "healthcare", "research", "hardware" ], "technicalFeatures" : [ "computerVision", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "readme" : "## Blurb about me\n\nHello! I am currently working on problems at the intersection of signal processing, optics and machine learning. I received my PhD in Electrical Engineering with a focus on ultrasound image processing for orthopedics. Following that I worked at a biotech firm for a year writing and deploying production software for analysis of protein assay imaging data. Having worked across healthcare, O&G and hardware industries, I try to make the best use of whatever tools available in solving unfamiliar problems.", "isFormerMentee" : false }, { "_id" : "sLXpCK9R89EediJkR", "lastName" : "feng", "firstName" : "chunshan", "locationString" : "Regina, SK, Canada", "linkedInUrl" : "https://www.linkedin.com/in/chunshanfeng/", "technicalFeatures" : [ "dataScience", "webDevelopment", "visualization", "dataEngineering" ], "domainFeatures" : [ "manufacturing" ], "currentRole" : "Data Analyst and Full Stack Developer @ITSP", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\n\nMy name is chunshan and I am a Data Analyst and full-stack software developer @ITSP.\n\nI am data analyst, machine learning engineer, data scientist and full stack software developer with 16 years of experience. \n\n-Proficiency in Machine Learning, Deep Learning, Data Science, Data Analysis, web application, and mobile application development.\n-In-depth knowledge in the field of statistics, optimization, probability and data analysis theories. \n-Control systems specialist with over 9 years of experience in design, simulation and implementation.\n\nSkills:\nProgramming Languages: Python, C#, Javascript, VBA.\nFramework: .net core, react native, react js\nML/DL tools: Pandas, Scikit-Learn, TensorFlow, Keras, NumPy, OpenCV, NLP.\nVisualization: Power BI, Seaborn, Matplotlib.\nDatabases: SQL Server, MySQL.\nProject Management: Jira, Slack.\nDistributed version control system: Git.\n\n\n\n### What I can help with\n\n\n#### Resume Improvement\n#### Prep interviews.\n#### Code reviews.I can help with Data Science, Data Analysis, Web Development and Mobile\n#### Development, I will use real project, not sample project to help you improve your skills.\n#### Presentations.\n#### Networking\n\n\n### What I expect from mentees\n\nI'm looking for mentees that eager to land a job.", "isFormerMentee" : true }, { "_id" : "wo6LKqZEhG4jX5sQL", "linkedInUrl" : "https://www.linkedin.com/in/anishazaveri/", "lastName" : "Zaveri", "firstName" : "Anisha", "locationString" : "Chicago, IL, USA", "currentRole" : "Lead Data Scientist", "domainFeatures" : [ "eCommerce", "healthcare" ], "gitHubUrl" : "https://github.com/anishazaveri", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "recommenders", "nlp", "tabular" ], "websiteUrl" : "http://www.anishazaveri.com", "readme" : "Hi! I am a Data Scientist currently working at Evozyne, where I use deep learning to design protein. In my previous job I worked at Peapod Digital Labs where I work on building grocery recommender systems and personalized user experiences. \n\n------------------------------------\n### What I can help you with:\n\n**Project design and experimentation**\n- Scope out and select ML algorithms for a data problem\n- Advice on designing robust experiments to test your results\n- Hacks to squeeze out additional performance from a model (eg: Model ensembling, target encoding)\n- Advice on how to showcase your results (eg: Build a web-app)\n\n**Code review (Python/PySpark)**\n- Tips to make your code more elegant and readable\n- Best practices for refactoring code to be object-oriented\n- GitHub review to check your code looks professional and presentable to hiring managers\n\n**Interview prep**\n- How to master spaced repetition\n- Mock interviews for conceptual ML/live coding\n- How to design a great pitch for \"Tell me about yourself..\"\n- How to research a company before your final round\n- What questions to ask at the end of the interview\n\n**Presentation Skills** (see a recording of one of my project presentations [here](https://www.youtube.com/watch?v=95Aw3NZ-orQ))\n- Slide design\n- More slide design\n- Mock presentations\n\n**Study/time planning**\n- Prioritize which topics to study and plan your time accordingly\n- Set realistic goals and make plans to achieve them\n- What to do when you get stuck\n- Sustain motivation for interview prep over months\n\n-------------------------------------\n### Professional Experience\n\n **Peapod Digital Labs, Remote — Lead Data Scientist** (MAY 2021 - JUNE 2022)\n - Built a deep-learning based hybrid grocery recommender system that leverages Horovod and Petastorm for distributed training of big data in PySpark.\n - Trained pointwise and pairwise learning to rank algorithms for personalized ranking of search results with a 20% improvement in model performance.\n - Refactored and debugged existing association rule mining pipelines to provide personalized recommendations for 10X more customers.\n - Mentored three interns in data wrangling and machine learning.\n\n**Peapod Digital Labs, Remote — Senior Data Scientist** (DEC 2020 - MAY 2021)\n- Trained a custom named entity recognition model for labeling culinary terms using natural language processing (NLP).\n- Used collaborative filtering in PySpark to build a recommendation system that suggests novel grocery items to customers with a 50% improvement in performance over baseline.\n- Built custom PySpark evaluators for ranking metrics (NDCG, Recall).\n\n**Insight Data Science, Remote — Data Science Fellow** (SEP 2020 - DEC 2020)\n- Consulted for a lawn services startup to predict customer churn using an ensemble model consisting of random survival forests and Cox’s proportional hazard models.\n- Provided the startup with their first individual-level churn prediction model with a concordance index ~0.8 and deployed the model as an API.\n\n**Weill Cornell Medicine, New York, NY — Postdoctoral Associate** (OCT 2016 - SEP 2020)\n- Built predictive models (logistic regression and boosted trees) that allow pharmaceutical companies to predict anti-tuberculosis drug mechanisms in a high-throughput manner.\n- Reduced the cost of data acquisition by performing feature selection (recursive feature elimination and LASSO) to identify a minimal set of features for prediction.\n\n-----------------------\n### Side-projects\n**Kaggle Toxic Comment Classification**\n- Kaggle competition focused on classifying toxic comments. \n- Modified Google’s BERT model to accommodate sample weights. \n- Used word embeddings with a Bi-LSTM. \n- The final model blended the outputs of the BERT and Bi-LSTM models. \n- This approach achieved a top 6% ranking.\n\n\n**Sense and Sensitivity Analysis**\n\n[_Published at NeuRIPS 2020_](https://papers.nips.cc/paper/2020/file/7d265aa7147bd3913fb84c7963a209d1-Paper.pdf)\n- Assisted in developing a new method for assessing sensitivity of causal estimation to 'unobserved confounding'. \n- Translated the mathematical theory into a practical data visualization approach\n- Performed extensive validation with a variety of real-life datasets", "isFormerMentee" : false }, { "_id" : "7e7SajRjugzt7Siop", "linkedInUrl" : "https://www.linkedin.com/in/nands31/", "lastName" : "Subhrangshu", "firstName" : "Nandi", "locationString" : "Seattle, WA, USA", "currentRole" : "Senior Applied Scientist @ Amazon", "domainFeatures" : [ "finance", "consulting", "eCommerce" ], "technicalFeatures" : [ "dataScience", "anomalyDetection", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "networking" ], "readme" : "### About me\nPhD in statistics, experience in quantitative trading, data science and research science in tech industry. experienced in coaching new grads and early career switch into data science. Tech lead in multiple projects in Alexa AI and Retail catalog orgs within Amazon. \n### What I expect from mentees\nI am looking for mentees that are comfortable in python, scala or R and are looking for a career in data science. I will first evaluate the gaps with respect to the mentee's aspirations and work out a plan and set smaller goals to achieve the bigger dream. I expect mentees to be diligent and stick to the plan and work hard. I will hold regular one-one-meetings and help build a resume and interview skills for a successful outcome.", "isFormerMentee" : false }, { "_id" : "EoETAjykP2QRepxd6", "linkedInUrl" : "https://www.linkedin.com/in/dionremi/", "lastName" : "Dion", "firstName" : "Remi", "locationString" : "Montreal, QC, Canada", "currentRole" : "Director of Operation, Deep learning Expert", "domainFeatures" : [ "logistics", "transportation", "finance" ], "technicalFeatures" : [ "computerVision", "deepLearning", "timeSeries" ], "mentorshipOfferings" : [ "oneOnOneCalls", "codeReview", "projects" ], "readme" : "### About me\nMachine Learning Engineer @Explor.ai, formerly Data Scientist @PemPem and dev @Desjardins \n### What I expect from mentees\nI'm looking for mentees with interests at the intersection of entrepreneurship, sustainability and data science. For project-oriented mentorship, people with experience with C++ or Python, in computer vision, data science or operationalization of backend modules are a good match. I can provide code-review, goal-setting 1-1s and projects to get involved with. \nI'm especially interested in mentoring someone whose background is non-linear (trial and error, multidisciplinary interests).", "isFormerMentee" : false }, { "_id" : "XgsgoGiF2HwMG9M7j", "linkedInUrl" : "https://www.linkedin.com/in/jason-weng-data-scientist/", "lastName" : "Weng", "firstName" : "Jason", "locationString" : "Dublin, CA 94568, USA", "currentRole" : "Staff Data Scientist @ Intuit| ex-LinkedIn", "domainFeatures" : [ "software", "finance", "consulting" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "### About me\n\nHi, I'm Jason, I'm a senior data scientist with 8+ years of experience, working in a range of companies & industries. Currently at Intuit, was previously at LinkedIn. I'd love to mentor your learning journey in becoming a data professional, helping you cover the key concepts & skills needed to be successful in your job search and career.\n\nI enjoy mentoring others and providing them with guidance of having a successful career in the data space. I can design and provide a study plan, review resumes and practice technical & non technical interviews.\n\nFluent in R, SQL & Tableau for data analysis & visualization.\n\n\n\n### What I expect from mentees\n\nI'm looking for mentees that are already comfortable coding with SQL and R/Python. I will provide mock interviews, one on one calls and project work to my mentees. I’m especially interested in mentoring someone who’s currently applying to roles and guide them in standing out from the crowd.", "isFormerMentee" : false }, { "_id" : "EP8tXH5FiEYS7fbNj", "linkedInUrl" : "https://www.linkedin.com/in/girishjeyakumar/", "lastName" : "Jeyakumar", "firstName" : "Girish", "locationString" : "Vancouver, BC, Canada", "currentRole" : "Software Engineer @ Dropbox", "domainFeatures" : [ "software", "research" ], "technicalFeatures" : [ "reinforcementLearning", "deepLearning", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking" ], "readme" : "### About me\nSoftware Engineer @ Dropbox. Work on large scale distributed systems. Have research experience and multiple publications spanning topics in algorithms and data structures, machine learning and reinforcement learning. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >10 hrs per week on a full-stack data science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your devops and model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM, but would be open to chatting in other cases as well.", "websiteUrl" : "https://girishjeyakumar.github.io/", "isFormerMentee" : false }, { "_id" : "iJ9u4ExWtoY48mFfY", "linkedInUrl" : "https://www.linkedin.com/in/saitejagudipati/", "lastName" : "g", "firstName" : "Sai Teja", "locationString" : "Waterloo, ON, Canada", "currentRole" : "Data Scientist", "domainFeatures" : [ "finance", "software" ], "technicalFeatures" : [ "nlp", "dataScience", "recommenders" ], "mentorshipOfferings" : [ "oneOnOneCalls" ], "readme" : "### About me\nGeeky towards machine learning, love to solve complex real world problems. Expertise in ML and DL...", "isFormerMentee" : false }, { "_id" : "6rc6jbeGjgEMm8KjS", "linkedInUrl" : "https://www.linkedin.com/in/peterchen94/", "lastName" : "Chen", "firstName" : "Peter", "locationString" : "Atlanta, GA, USA", "domainFeatures" : [ "manufacturing", "software" ], "mentorshipOfferings" : [ "networking", "codeReview", "projects" ], "technicalFeatures" : [ "productionization", "nlp" ], "currentRole" : "Data Scientist", "isFormerMentee" : false }, { "_id" : "T6Y2bJYeBkR3RMFqs", "linkedInUrl" : "https://www.linkedin.com/in/patrickstewartnoonan/", "lastName" : "Noonan", "firstName" : "Patrick", "locationString" : "Dénia, Alicante, Spain", "currentRole" : "Sr. Data Analyst @ Primary.Health", "domainFeatures" : [ "healthcare", "media", "finance" ], "technicalFeatures" : [ "analytics", "visualization", "tabular" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews", "projects", "codeReview" ], "readme" : "## About me\n\n### Introduction\nMy name is Patrick and I’m a data analytics expert with over 10 years of international work experience across a diverse range of companies and industries. \n\nI'm currently a Senior Data Analyst at Primary.Health - a startup focusing on COVID-19 Testing and Vaccination software solutions at scale. My role includes aspects of Data Engineering, model building, data transformation, Looker instance administration, query optimization and dashboard creation - never a dull moment!\n\nIn addition to my day job, I’m passionate about teaching, communicating and mentorship. I have over a year of experience mentoring aspiring data professionals and I've found it intensely rewarding. I genuinely love explaining things, giving advice, and helping people reach that ‘ah ha’ moment when they finally understand a concept. I consider myself patient and empathetic; I always strive to put myself in the students shoes to understand their goals and strategize a way to best serve them. \n\nMy philosophy is ‘learn by building something that you care about’. I’ve taught myself several technologies by creating data projects related to my interests - here are some examples: \n\n* [Build Interactive GPS activity maps from GPX files using Folium](https://towardsdatascience.com/build-interactive-gps-activity-maps-from-gpx-files-using-folium-cf9eebba1fe7?sk=94c4ba5915ea0ca5f4794b50166c28ac)\n* [Spain’s strict COVID lockdown visualized with Folium, mobile GPS data, and Geo JSON](https://towardsdatascience.com/spains-strict-covid-lockdown-visualized-with-folium-maps-mobile-gps-data-gpx-tracks-and-geo-9628e39bfa0e?sk=05250cbe5f86d8a6ca4479494295e758)\n* [Data Mine a Diary: TextBlob and NLKT to analyze your Personal Journal](https://towardsdatascience.com/data-mine-a-diary-textblob-and-nlkt-to-analyze-your-personal-journal-a7c73f412acc?sk=78cb872266aaf8549a515fc324ace570)\n\nWhen I'm away from the computer screen I can be found cycling on one of my 3 bikes, waking up early before the sun rises to take photos with my tripod and camera or cooking a new vegan recipe.\n\nNote: I’m born and raised in California, but I'm currently based in Spain on GMT+1 time zone. Keep the time difference in mind when considering if it's a good fit.\n\n### Career\nMy career trajectory has been rather non-traditional. I studied Microbiology and found my way into the Data and Tech world by taking a temporary position in online advertising. This is when I discovered excel, data automation and scripting languages. I loved the challenge of automating manual processes and organizing data - it was my calling! Since then, I've worked in a wide variety of data-focused roles; learning and teaching myself as I encounter problems, challenges and products to build. My self-education trajectory has been a combination of tutorials, trial and error, collaboration with co-workers and personal data projects. \n\nI took a mid-career sabbatical to move to Spain and teach English. I needed to take a break from office life and explore other ways of living. It has been a wonderful experience to view the world in a different way, learn a new language and grow personally by leaving my comfort zone. After a few years of immersing myself in a foreign country, it was time to return to my first love: data. I re-entered the workforce by producing several personal data projects which quenched my appetite for data problem solving, refreshed my skills and enhanced my portfolio in preparation to return to work. \n\nMy professional career has included:\n\n* Technology\n * Wearer of many hats (PM, Data Analyst, Engineer) @ 3 Startups in the Health/Finance space\n * 3 Data roles @ Pandora helping to wrangle/analyze billions of rows of listener data\n * Freelance Data projects\n * Data Analytics Mentorship\n* Non-Traditional\n * English teaching and business consulting in Spain \n * Translation gigs (live and written)\n * Airbnb Experience Operator (Bike tours and Photography classes)\n\n\n### What I expect from mentees\nI'm looking for mentees that have a passion for data analytics with a self-starter attitude. Your goal should be to break into the industry as a Data Analyst. Tech skills preferred: basic SQL, Python and excel. You will use these skills to develop a personal project that you are excited about. The best way to learn is to build something. You should have clearly defined expectations and goals for completing this fellowship. Discipline and grit are important skills for success: you should be able to commit to 10-20 hours/week towards your goals. I'm open to taking recent grads or seasoned vets who are changing careers.\n\n\n### What I can help you with\n* Personal Projects\n * Brainstorming of topics.\n * Technical feedback and code review.\n * Guidance, strategy, planning and encouragement.\n* Interview prep and job search advice\n * I'm well-versed on both sides of the hiring process. I've hired and interviewed several data analysts. I've also experienced dozens of interviews and job offers as a job-seeking data analyst. \n * Improve resume, LinkedIn and Github profiles.\n * Mock interviews.\n* Industry insights\n * What are common workflows of a data analyst in the real world?\n * Examples of real life problems, projects and challenges.\n * Emerging technology trends in the data world.\n* Productivity and Coaching\n * Strategies to be more productive.\n * Habits, routines and hacks to optimize your data analytics journey.\n * Accountability partner.\n* Networking\n * Tips and tricks to expand your network.\n * Introductions to contacts in my network.\n\n\nIf you think it might be a good fit, don't hesitate to send me a message - I look forward to hearing from you!", "websiteUrl" : "https://medium.com/@datachico", "isFormerMentee" : false }, { "_id" : "hEd6Wy9mZzJfZX279", "linkedInUrl" : "https://www.linkedin.com/in/jaret-andr%c3%a9/", "lastName" : "Andre", "firstName" : "Jaret", "locationString" : "Ottawa, ON, Canada", "currentRole" : "Data Scientist Mentor (Full-time)", "domainFeatures" : [ "naturalResources", "consulting", "telecom" ], "technicalFeatures" : [ "productionization", "dataScience", "devops" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking" ], "readme" : "# Why do I want to be your mentor?\n\nFeeling not good enough? Don't think you are fit to be in the data science industry? Feeling lonely, stressed or even depressed? Wondering why you can't break into the industry? Wondering why no one is taking a chance on you? Considering additional education because you don't think you are qualified yet?\n\nIf **\"Yes\"** to any of the above questions, reach out and let's talk.\n\nI understand, I was in the same spot as you not too long ago, looking for any and all help.\n\nThen I built a system where I got 90+ interviews within 3 months. \n\nWhat if I told you that all you need is 2 easy techniques to reach your goals?\n\nAfter you break into the industry, what's next? I don't just want to help you in your career but how to shift your mindset, gain confidence plus be persistent and consistent to tackle any goal in life. Remember it's not your job title, the company you work for or your salary that makes you special and unique, it's you. If you only learn this one concept then I will be completely fulfilled.\n\n## Mentoring Experience\n\nI am a believer that everyone needs a mentor, regardless of the life stage they are in. You can always learn and grow from someone. I have been mentoring for years but really focused on it this last year, outside of SharpestMinds.\n\n### Current & Past mentee's industries (and counting):\n- Data Science (34)\n- Software Engineer / IT (2)\n- Environmental Science (1)\n- Psychology (2)\n\n### Mentee Achievements \n- Quickest mentees to next position: 2 weeks, 3.5 weeks, 4 weeks (x2)\n- 9 mentees landed a job before mentorship was over\n- Shortest time to impact: One (Interview Prep) consultation => Offer next day\n- Reduced daily procrastination from 5 hours to 45 mins in just 3 weeks and sustained over 4 (and counting) months\n- Doubled mentee's salary\n- $30k raises (x2)\n- Mentored a Data Analyst to a starting salary of $95k with 0 experience\n- $150k+ offer (x3)\n- $350k+ Total Raises or Negotiated\n\n## What I Can Help You With (Heck, I might even join you!)\n- **Goal Planning**\n- **Mindset Training** \n- **Time-Management Techniques**\n- **Prep & Mock Interviews** - I have done 100+ interviews and have also been an interviewer (These used to be a weakness of mine)\n- **Code Reviews** - Mainly Python, but could do SQL as well if needed\n- **Presentations & Telling a Story with Data** - This is very important in the industry\n- **Project Planning** - Brainstorming, planning. (In the process of becoming a Project Manager)\n- **Networking** \n\n## Background\nI am a Data Scientist with a software engineering and statistics background who is really passionate about statistics, MLOps, solving difficult problems with data and motivating people to break out of their comfort zone to grow!\n\n## Expectations From Mentees\n- **10 to 20 hours per week** - The more the better\n- **Come prepared to all meetings** - If there is a specific topic that you would like to talk about that I would need to prepare before, please give me 24 to 48 hours notice. People who know me well would say I put 110% in everything I do, thus I expect you are prepared as well. \n- **Open communication** - I am very understanding and I want to motivate and keep you accountable but this requires open communication.\n\n## Interested to know more, ask me\n- Where and who I was 2 years ago.\n- Where and who I was 6 months ago.\n- How to optimize the application process for entry-level positions in half the time with less effort.\n- About my $36k mistake and how I can help you avoid it.\n\n## Reach Out\n\nIf you have got this far and you are interested in potentially partnering up, feel free to book a meeting: [Calendar](https://calendly.com/jaret_andre_schedule/initial-mentorship-call-sm)\n\nAlso, feel free to reach out to me on LinkedIn if you prefer to communicate there: [LinkedIn](https://www.linkedin.com/in/jaret-andr%C3%A9/)\n\n\nFor more [Testimonials](https://bit.ly/3FkczkS)", "isFormerMentee" : false }, { "_id" : "EJpKi3eYcKcoh63Nc", "linkedInUrl" : "https://www.linkedin.com/in/francesco-gorga/", "lastName" : "Gorga", "firstName" : "Francesco", "locationString" : "Seattle, WA, USA", "currentRole" : "Data Scientist at Amazon", "domainFeatures" : [ "eCommerce", "software" ], "technicalFeatures" : [ "dataScience", "tabular", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking", "projects" ], "readme" : "## About me\nI'm a senior data scientist at Amazon. I specialize in end-to-end ML systems, causal inference, and general decision science. My academic background is in engineering mathematics. \nI have been mentoring other data scientists and engineers for about three years now, and have helped multiple mentees grow in their careers, or switch from engineering to data science.\nI am also one of the main technical interviewers in my team, and have hired for positions in data science, engineering, and deep learning.\n\n\n## What I can provide\n**Mock interviews** I have extensive interview experience, both as a candidate and as an interviewer. I can help you prepare for technical and behavioral interviews.\n\n**Code reviews** I have written a lot of production Python code, and I can help you become better at it.\n\n**Projects** I can guide you through building projects for your data science portfolio, and help you learn valuable skills along the way. My area of focus is ML systems in production, but I also work on causal inference and general decision science.\n\n**Real world ML** I can teach you key aspects of data science that often are overlooked. Version control, cloud deployment, model versioning, and more.\n\n**Networking** Connections and referrals.", "isFormerMentee" : false }, { "_id" : "dcgrKHaSQt5gDfZgh", "linkedInUrl" : "https://www.linkedin.com/in/sumeet-kaur-sehra-44809453/", "lastName" : "Kaur Sehra", "firstName" : "Sumeet", "locationString" : "Brampton, ON, Canada", "currentRole" : "Academician, ML Researcher,", "domainFeatures" : [ "research" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "unsupervised", "visualization", "analytics" ], "isFormerMentee" : false }, { "_id" : "vLpEztDdpZ379Hv9x", "linkedInUrl" : "https://www.linkedin.com/in/sammiebae/", "lastName" : "Bae", "firstName" : "Sammie", "locationString" : "San Jose, CA, USA", "currentRole" : "Software Engineer (Data Platform) @ Moveworks", "domainFeatures" : [ "saas" ], "technicalFeatures" : [ "dataEngineering", "devops" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "projects" ], "gitHubUrl" : "https://github.com/samebae", "websiteUrl" : "https://samebae.github.io/", "readme" : "### About me\n\nI am currently at [Moveworks](https://www.moveworks.com/), a unicorn enterprise SaaS start-up, working on data platform where I joined as an early engineer to do build data systems at scale.\n\nPreviously, I've seen and worked with various data engineering technologies stacks at various companies (Shippo, Yelp, NVIDIA). \n\n**Fun fact**: my first dev job was doing MySQL administration along with PHP development.\n\n\n### What I expect from mentees\n**technical**:\n- some fundamentals of databases (e.g. intro course on database)\n- some fundamentals of systems-focused CS topics (e.g. multi-threading, basics of OS)\n- Python and SQL knowledge\n\n**non-technical**:\n- passion \n- transparent and timely communication\n- grit and effort: 10-20+ hours of work per week\n\n\n### What I can help with\n\n**technical**:\n- code reviews\n- guidance on projects: architecture/design review, best practices\n- deploying local code to production (i.e. in a cloud provider like AWS)\n\n**non-technical**:\n- resume writing\n- interviewing tips + mock interviews.\n\n### My availability and communication style\nI'm usually busy during the weekday but can communicate daily asynchronously (via Slack, email, loom) to provide ongoing feedback. \n\nFor long or video sessions, I am generally available on morning/mid-afternoon on weekends 9AM to 2pm (PST).\n\n### Next steps\nIf you're interested, please send me a message about your background, career goals, and where you're currently at in your journey.\n \nYou can also email me at {my_lastname}{my_firstname}[at] gmail .com", "isFormerMentee" : false }, { "_id" : "tAwe5SLcRTKKEqovW", "linkedInUrl" : "https://www.linkedin.com/in/ffadel/", "lastName" : "Fadel", "firstName" : "Fady", "locationString" : "Mississauga, ON, Canada", "currentRole" : "Senior Data Scientist", "domainFeatures" : [ "healthcare", "telecom" ], "technicalFeatures" : [ "dataScience", "productionization", "analytics" ], "mentorshipOfferings" : [ "projects", "oneOnOneCalls" ], "readme" : "### About me\nSenior Data Scientist @Roche \nExperienced in Pharma and Telecomm domain, working on various domain in Data Science, NLP, ML and some MLOPS. I can help with with translating business problems and turning them into MVP and whats most important understand how to put models into production. \n### What I expect from mentees\nI am looking for mentee that comfortable in programming in either Python or R and willing to commit a minimum of 5 hours per week to build a data science portfolio. I will support in finding business cases relevant to the industry you looking to enter and shape your solution in a form that you can showcase for interview. I am especially interested in mentoring someone who is eager to enter the data science market and wants to make a successful career for h(im |er)self. I am also happy to chat and have one-on-one to help answer any questions that might be occupying your mind.", "isFormerMentee" : false }, { "_id" : "LfCpBSjPpt8CQSqHF", "linkedInUrl" : "https://www.linkedin.com/in/surbhi-gupta-frm/", "lastName" : "Gupta", "firstName" : "Surbhi", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist", "domainFeatures" : [ "finance", "software", "digitalMarketing" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ "dataScience", "nlp", "analytics" ], "isFormerMentee" : false }, { "_id" : "DKMQbzF9Qo3TAfr7K", "linkedInUrl" : "https://www.linkedin.com/in/elliotastern/", "lastName" : "Stern", "firstName" : "Elliot", "locationString" : "Beaverton, OR, USA", "currentRole" : "Freelance Data Scientist", "domainFeatures" : [ "sports", "software", "consulting" ], "technicalFeatures" : [ "analytics", "computerVision", "recommenders" ], "mentorshipOfferings" : [ "projects", "codeReview", "networking", "mockInterviews", "oneOnOneCalls" ], "readme" : "### About me\nFreelance Data Scientist with 7+ years of experience. Co-founded a soccer computer vision company that secured $250,000 of funding. His sports algorithms have generated over $100,000 of profit and have higher accuracy than industry leaders such as ESPN and Yahoo. \n### What I expect from mentees\nI'm looking for mentees that has some experience in either R or Python and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide code-review, mock interviews, network support, mock interviews, regular one-on-one meetings, and whatever it takes to get you to a great job in the data science industry. I'm especially interested in mentoring someone interested in sports data science or computer vision but would be open to chatting in other cases as well.", "websiteUrl" : "http://elliotastern.com", "isFormerMentee" : false }, { "_id" : "xGDukaH5uXEbSiLsf", "linkedInUrl" : "https://www.linkedin.com/in/mohitsingh3008/", "lastName" : "Singh", "firstName" : "Mohit", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Big Data Engineer @ IBM", "domainFeatures" : [ "software", "healthcare", "retail" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nI have a strong grasp of how machine learning algorithms work, how machine learning pipelines are implemented at scale, and how statistical tests are designed for validating results. I also pride myself on my ability to explain results and findings to decision makers. \n### What mentees can expect from me\nI can provide step-by-step frameworks for approaching data science and machine learning projects at big tech companies. I can provide guidance on how to deal with issues that arise in the real world when working on data science projects. I can provide insights on what interviewers look for when hiring data scientists and data engineers.", "isFormerMentee" : false }, { "_id" : "9eJQ3dQNHNAttQ6dc", "linkedInUrl" : "https://www.linkedin.com/in/pritul-patel", "lastName" : "Patel", "firstName" : "Pritul", "locationString" : "San Francisco, CA, USA", "currentRole" : "Senior Data Scientist @ Apple", "domainFeatures" : [ "eCommerce", "media", "transportation" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "codeReview", "networking", "mockInterviews" ], "readme" : "### About me\nI am currently a Senior Data Scientist @ Apple. I have also worked at eBay and Yahoo among most notable companies. I have been in Analytics/Data Science space for 13+ years. I've worked across various industries and performed several types of analytics, but I find my calling in Product Analytics / Product Data Science space involving analyzing user behavior data. This is an area within Data Science where Product (and Business) meets Data. I've been mostly in Lead roles and helped grow product usage as well as company revenue, I've helped save millions in projects through data science and automation. I've helped run and analyze hundreds of experiments by helping build scalable and statistically rigorous infrastructure.\n### How I can help mentees\nI want to help mentees who want to break into or transition their careers into Data Science. I primarily specialize in Product Data Science and Experimentation Science. These are NOT machine learning roles and likely won't need ML knowledge beyond regression and ensemble tree based algorithms. Not everyone is carved for doing ML based jobs and Product Data Science is a good middle ground between BI/Data Analyst and ML. \n\nI help shorten the path from your current situation to your targeted goal of becoming a Product Analyst/Product Data Scientist. If you don't have experience with Python and SQL then I can help you fast track on Python coding skills as well as point you to best resources that help you bring up to speed on intermediate SQL. I help put together a study plan and hold you accountable on achieving deadlines. I will help you develop interviewing skills so that you feel confident going into any interview and maximize chances of landing an offer.\n\nNOTE: I do NOT have experience in NLP, Computer Vision, Deep Learning, or even ML based projects so I cannot help you build a ML project portfolio.\n### What I need from mentees\nAll I need from mentees is time commitment and willingness to learn. My weekly commitment is 2 hours per week per mentee.", "isFormerMentee" : false }, { "_id" : "zqEX9XKCgaYEZX7Q9", "linkedInUrl" : "https://linkedin.com/in/koyuki-nakamori", "lastName" : "Nakamori", "firstName" : "Koyuki", "locationString" : "Seattle, WA, USA", "currentRole" : "Head of AI", "domainFeatures" : [ "healthcare", "finance", "socialMedia" ], "technicalFeatures" : [ "dataScience", "nlp", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "networking" ], "readme" : "### About me\nHead of AI in Silicon Valley!", "isFormerMentee" : false }, { "_id" : "pdNJsAAaF6kiNKAE4", "linkedInUrl" : "https://www.linkedin.com/in/shivam-goyal-outlier08/", "lastName" : "Goyal", "firstName" : "Shivam", "locationString" : "Windsor, ON, Canada", "currentRole" : "Data Science Instructor@BusyQA", "domainFeatures" : [ "finance", "retail", "consulting" ], "technicalFeatures" : [ "dataScience", "analytics", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "projects", "networking", "oneOnOneCalls" ], "isFormerMentee" : false }, { "_id" : "Dv28P7SPE4JJKHtPx", "linkedInUrl" : "https://linkedin.com/in/russell-yazabi", "lastName" : "Pollari", "firstName" : "Russell", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ ], "isFormerMentee" : false }, { "_id" : "PaZb3Zwjrd8WcYhyn", "linkedInUrl" : "https://www.linkedin.com/in/marksatkins14/", "lastName" : "Atkins", "firstName" : "Mark", "locationString" : "Chandler, AZ, USA", "currentRole" : "Senior Software Engineer, Machine Learning @ GlaxoSmithKline", "domainFeatures" : [ "healthcare", "manufacturing", "consulting" ], "technicalFeatures" : [ "devops", "productionization", "dataScience" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews", "codeReview", "projects" ], "readme" : "### About me\nSenior Software Engineer, Machine Learning Platform @GlaxoSmithKline. Formerly @Freeport McMoRan ,@Deloitte and @US Navy. Specializing in Machine Learning Engineering for large scale industrial modeling applications in the mining industry \n### What I expect from mentees\nI'm looking for Mentees in Machine Learning Engineering/MLOps or mentees focused on a career path in Data Science who want to learn strong software engineering, DevOps, and MLOps principles. Mentees should be willing to commit at least 10hrs per week, with 1-2 weekly calls to review code, conduct mock interviews, or work on a project. I am experienced in cloud applications and can help you build devops and productionalization skills. Testing and SOLID software engineering principles are important to me, and I do not like to use notebooks as a teaching or product tool. I have a background in Nuclear Engineering and Computer Science, but am interested in mentees of all backgrounds and disciplines", "isFormerMentee" : false }, { "_id" : "oYHWtKpjGG55MQoMB", "linkedInUrl" : "https://www.linkedin.com/in/khushaalp/", "lastName" : "Popli", "firstName" : "Khushaal", "locationString" : "Vancouver, BC, Canada", "currentRole" : "Lead Data Scientist", "domainFeatures" : [ "naturalResources", "logistics", "research" ], "technicalFeatures" : [ "dataScience", "analytics", "timeSeries" ], "isFormerMentee" : false }, { "_id" : "zXSJh6qZiK6fXwXQX", "linkedInUrl" : "https://www.linkedin.com/in/kaitlinbustos/", "lastName" : "Bustos", "firstName" : "Kaitlin", "locationString" : "Vancouver, BC, Canada", "currentRole" : "Data Scientist", "domainFeatures" : [ "dataForGood", "consulting", "healthcare" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist / Subject Matter Expert in AI / Certified Data Science Practitioner. \n \nUniversity of Victoria + BrainStation Alumni 📚\n### What I expect from mentees\nI'm looking to help mentees with anything Data Science. I can help you level up skills, build your personal brand, network, ace interviews, and ultimately kickstart your career in tech. I'm here to be a catalyst for your success!", "websiteUrl" : "https://www.kaitlinbustos.com/", "isFormerMentee" : false }, { "_id" : "Qdiv2BxWjTsRqJ2fd", "linkedInUrl" : "https://www.linkedin.com/in/nandita-dwivedi/", "lastName" : "Dwivedi", "firstName" : "Nandita", "locationString" : "Vancouver, BC, Canada", "currentRole" : "Senior Machine Learning Engineer", "domainFeatures" : [ "realEstate", "digitalMarketing", "software" ], "technicalFeatures" : [ "dataEngineering", "dataScience", "productionization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews", "networking", "codeReview", "projects" ], "readme" : "### About me\nI currently work as a Senior Machine Learning Engineer for a US based start up. In my current role I wear multiple hats - I work on data engineering, data science, MLOps and DevOps. I have formerly worked as a Data Scientist and Software Engineer. I have been working on Data/AI Platforms for around 5 years and I expertise on different parts of a ML pipeline. I also have a Bachelors in Computer Science and Masters in Computer Science specializing in Big Data.", "isFormerMentee" : false }, { "_id" : "2iSQccxNimPSoyjWg", "linkedInUrl" : "https://www.linkedin.com/in/divey-saini-phd-45aa93ab/", "lastName" : "Saini", "firstName" : "Divey", "locationString" : "Dublin, CA 94568, USA", "currentRole" : "Senior Data Scientist at Microsoft (Logic20/20)", "domainFeatures" : [ "research", "software", "consulting" ], "technicalFeatures" : [ "nlp", "dataScience", "productionization" ], "readme" : "### About me\nSenior Data Scientist and also experienced Applied Research Scientist. Worked in various industries Health, Finance, Law, Telecom, and HR", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : false }, { "_id" : "qGSBBjdiuXGXrygWq", "linkedInUrl" : "https://www.linkedin.com/in/drjudy", "lastName" : "Chen", "firstName" : "Judy", "locationString" : "San Francisco, CA, USA", "currentRole" : "Board member of Meals on Wheels", "domainFeatures" : [ "dataForGood", "semiconductor", "gaming" ], "technicalFeatures" : [ "dataScience", "analytics", "computerVision" ], "mentorshipOfferings" : [ "oneOnOneCalls", "networking", "projects" ], "readme" : "### About me\nFormer General Manager at Electronic Arts\n\nFormer Director Data Science and Product Management at Glu Mobile \n\nPrevious data scientist consultant at Stitch Fix and Vessel Health\n### What I expect from mentees\nI am looking for mentees who are:\n\n- Data analysts looking to sharpen their communication skills with key stakeholders and/or interviewers\n- Techies looking to pivot into data analysis or computer vision\n- Already familiar with either Python or R\n\n### My specialties\n- Data Analysis\n- Experimental Design\n- Computer vision (but not deep learning, the classic approaches)\n- NLP (text search, sentiment analysis)\n- Ph.D. Elec Eng from MIT", "isFormerMentee" : false }, { "_id" : "gpAusSbd65NRv52Q2", "linkedInUrl" : "https://www.linkedin.com/in/-karam/", "lastName" : "Singh", "firstName" : "Karamvir", "locationString" : "Waterloo, ON, Canada", "currentRole" : "Machine Learning Operation Engineer @ mia-ml.com", "domainFeatures" : [ "software", "infrastructure" ], "technicalFeatures" : [ "dataScience", "computerVision", "productionization" ], "mentorshipOfferings" : [ "projects", "oneOnOneCalls", "codeReview" ], "readme" : "### About me\nMachine Learning Operations Lead @mia-ml.com, formerly Data Scientist, AI Strategy Consultant @Lemay.ai", "isFormerMentee" : false }, { "_id" : "jmqkYecPRWaz6Lp7a", "linkedInUrl" : "https://www.linkedin.com/in/monarchwadia/", "lastName" : "Wadia", "firstName" : "Monarch", "locationString" : "Toronto, ON, Canada", "currentRole" : "Sr. Typescript Developer, 2x Founder, CEOish", "domainFeatures" : [ "saas", "finance", "software" ], "technicalFeatures" : [ "webDevelopment", "devops" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "networking", "mockInterviews", "projects" ], "readme" : "### About me\n\nI'm a senior full-stack Typescript developer, 2x startup founder, and VC startup advisor. \n\nI specialize in mentoring junior developers who have 0-1 years of experience.\n\nThrough my work as CEO & Founder at Mintbean.io, I've mentored more than 100+ aspiring engineers. I've hired 15+ bootcamp grads and trained them to intermediate status. I've also indirectly helped 10,000+ junior developers through Mintbean's Hiring Hackathons for Junior Devs.\n \n### Things I look for in a mentee\n\n- Be pursuing a frontend, backend, or full stack career.\n- Be able to commit at least 10-20 hours a week on homework.\n- Be prepared to engage on social media as part of this engagement.\n\n### My tech stack\n\n**Frontend:** React, Typescript, Vue, Tailwind, SCSS, Styled Components, Webpack, Parcel, HTML, CSS\n\n**Backend:** Node, Express, Typescript, Java, Prisma, GraphQL, J2EE, Spring Boot, Apache Tomcat, Nginx, AWS, Heroku, Jenkins, CI/CD, DevOps\n\n**Database:** PostgreSQL, MySQL\n\n**Other:** Team building, MVP development, agile\n\n### Career mentorship style\n\nI debug your job search the way I debug code: root cause analysis, experimentation, and iteration. I will help you craft your resume, social media presence, portfolio, networking strategy, and job application strategy.\n\nI prefer that most students spend min. 3, but no more than 5, hours per week networking and applying to jobs.\n\n### Technical mentorship style\n\nMy style puts emphasis on flow state & flow psychology, managing distractions, and increasing technical skills. My goal is to help you enjoy programming and stabilize your practice.\n\nI prefer that most students spend AT LEAST 15-20 hours per week coding.", "gitHubUrl" : "https://github.com/monarchwadia", "websiteUrl" : "https://twitter.com/monarchwadia", "isFormerMentee" : false }, { "_id" : "LF6WtY4HRb92KWfdX", "linkedInUrl" : "https://www.linkedin.com/in/kaine-black-50b583168/", "lastName" : "Black", "firstName" : "Kaine", "locationString" : "Fredericton, NB, Canada", "currentRole" : "Data Scientist @ Proposify", "domainFeatures" : [ "insurance", "saas", "research" ], "technicalFeatures" : [ "dataScience", "visualization", "analytics" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews", "networking", "codeReview", "projects" ], "readme" : "# Hello Everyone! 😊📊\n## About Me\nI am a data science professional currently living in Fredericton, New Brunswick, Canada 🇨🇦\n\nI would consider myself as a data science generalist at this point in my career, with a particular passion for the SaaS and insurance industries. I have worked at large scale organizations, as well as smaller start-up companies where I am the only data scientist. I can remember trying to land my first data science job, and sending 200+ applications and doing 25+ interviews, so I can relate to the experience anyone trying to get into the field is going through.\n\n**Career Experience**:\n- Data Scientist @ *Proposify*, July 2021 - Current\n- Data Scientist @ *Intact Financial Corporation*, May 2019 - July 2021\n- Data Scientist @ *University of New Brunswick*, January 2017 - May 2019\n\n\n## My Technical Skills\n**Advanced Level** - Python, SQL, Jira, Github, Sklearn, Keras, Pandas, Numpy, Streamlit, Plotly, Matplotlib, Seaborn, Mode Analytics, Heap Analytics, MySQL, SQLite \n**Intermediate Level**- R, Flask, AWS Lambda, AWS S3, AWS Sagemaker, AWS Redshift, Optimization Frameworks (Gurobi, Pymoo), Oracle \n**Basic Knowledge**- PyTorch, Tensorflow, OpenCV, NLTK, Django\n\n\n## What I Expect from Mentees\nI'm looking to find mentees who are junior level data scientists, or even just getting started with a transition into a data analyst or data science role. I expect that the mentee is able to put 8-12 hours of work in per week towards projects, research, and learning. Having some exposure to Python, SQL, and at least one database technology (MySQL, SQLite, etc.) will be a good starting point. \n\n\n## What You Can Expect From Me\n- Between 1 - 3 hours of one-on-one time a week 👋🏼\n- Code reviews and project guidance/assessment 🖥\n- Network support & job search help 👥\n- Interview preparation, mock interviews, and resume advice 📄\n\n\n#### Looking forward to hearing from you and helping you reach your goals! ✔️", "isFormerMentee" : false }, { "_id" : "rQ33BKmF9agrr6Ddi", "linkedInUrl" : "https://www.linkedin.com/in/mukesh-mithrakumar/", "lastName" : "Mithrakumar", "firstName" : "Mukesh", "locationString" : "Plymouth Meeting, PA, USA", "currentRole" : "Sr. Machine Learning Engineer @ IQVIA", "domainFeatures" : [ "healthcare", "software", "edtech" ], "technicalFeatures" : [ "recommenders", "productionization", "computerVision" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "projects", "oneOnOneCalls" ], "readme" : "## About me\n\nI currently work at IQVIA, building AI-powered Customer Relationship Management tools for the healthcare industry. Specializing in Recommender Systems and exploring Distributed Training Strategies in production.\n\nPreviously I was the founder of Adhiraiyan AI Consulting, a company helping small to medium scale startups deploy end-to-end Machine Learning Solutions in the field of Computer Vision and Natural Language Processing.\n\nOutside of work, I love mentoring aspiring Data Scientists and Machine Learning Engineers and have mentored over 100 students from various backgrounds who are currently working as Data Scientists or Machine Learning Engineers.\n\n\n## Employment History\n\n- Sr. Machine Learning Engineer @ [IQVIA](https://www.iqvia.com/)\n- Lead Data Science Instructor @ [General Assembly](https://generalassemb.ly/)\n- Associate Instructor @ [FourthBrain](https://www.fourthbrain.ai/)\n- Founder @ [ADhiraiyan AI Solutions](https://www.adhiraiyan.org/)\n- Data Science Mentor @ [Thinkful](https://www.thinkful.com/) and [Springboard](https://www.springboard.com/)\n- Machine Learning Engineer @ [Data Science Retreat](http://datascienceretreat.com/)\n\n\n## Technical Skills\n\n- __Programming Languages__ - Python, GO, Java, C, C++, JavaScript, Shell, Git, SQL.\n- __Distributed Computation Frameworks__ - Apache Spark, Hadoop.\n- __Deep Learning Frameworks__ - TensorFlow, PyTorch, Keras, Pandas, OpenCV.\n- __Distributed Deep Learning Frameworks__ - Horovod, Dask.\n- __Machine Learning Frameworks__ – SciKit-Learn, XGBoost, NumPy, SciPy.\n- __Database Management__ - MongoDB, Google BigQuery, db2.\n- __Workflow Management__ - Apache Airflow, Kubeflow.\n- __Cloud Computing__ - Amazon Web Services, docker, Kubernetes, Google Cloud Platform.\n- __Web Development__ - Flask, HTML, CSS, jQuery, Node.js, Streamlit.\n- __Profiling Framework__ - Grafana, Jaeger, Prometheus.\n- __Product Management__ - Jira, Confluence.\n- __Software Skills__ - Jenkins, Lean, Agile, Scrum, Test Driven Development, CI/CD, Software Design Patterns, MLOps\nlife cycle\n\n\n### What I expect from mentees\n\nI'm looking for mentees who have some background in coding and data science. Coding skills don't have to be strong and if you are learning python, as long as you have some exposure to a different language or are familiar with the fundamentals, I would be more than happy to help.\n\n\n### What I can help you with\n\n__Project__: If you want to do a project together, we can negotiate the number of hours to commit, but I would recommend between 5-10 hours a week depending on what your project plan is. I will provide code reviews and regular one-on-one meetings. \n\n__Interview Prep__: If you want to practice being interviewed in data science, machine learning, computer vision, and related areas of deep learning, I can certainly provide that as well. I have extensive experience as an interview candidate and also as an interviewer.\n\n\n### Now the hard question... what's your rate?\n\nI typically ask for 7-10% of a mentee's first-year salary for Income Sharing Agreement-style mentorships. I give this range because it depends on their current situation and educational training. This rate can be negotiated, so if you're interested in working together, let's talk!", "isFormerMentee" : false }, { "_id" : "gyJT6yXcxexYyrj2r", "linkedInUrl" : "https://www.linkedin.com/in/ashaypathak/", "lastName" : "Pathak", "firstName" : "Ashay", "locationString" : "Brampton, ON, Canada", "currentRole" : "Data Scientist @Shopify", "domainFeatures" : [ "eCommerce", "edtech" ], "technicalFeatures" : [ "dataScience", "nlp", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "My name is Ashay and I am currently working as a full stack Senior data scientist at Shopify. Bit of my background : I have completed my bachelors in computer science from India and then pursued masters in data science from Simon Fraser University, Vancouver.\n\nI am an open-minded, approachable data scientist who loves teaching. I like to keep myself updated with the latest tips and technologies in this everyday changing world. I feel Data Science field as an open-ended and very broadly defined term where it's very easy to get lost without a proper direction about the expectations.\n\nI have personally been in this phase of getting into this field and preparing oneself for the required skill set. So I feel I can emphathize with new comers and share my experience as a guidance to reach to the goal.\n\nI try to have a direct communication because I believe providing right & quick feedbacks is very important. If I don't know something I will tell you just that, and do research myself to help you.\n\n## What I can help with\n\n- Preparing a proper timeline and prioritizing skills : As I said above, DS is very vast field and so its not possible (and also not a good idea) to learn everything from start. What is important is to prioritize learning depending on industry expectations.\n- Code Reviews.\n- Preparing a standout portfolio to get interview calls.\n- Business communication : A very important and much needed skill to succeed as a Data scientist (from my experience).\n- Technical skills :\n - Programming : Python, SQL, R\n - Data analysis : \n - Experimentations - A/B tests\n - Machine learning, NLP", "isFormerMentee" : false }, { "_id" : "3XxXCEQtxEdQfrP3e", "linkedInUrl" : "https://www.linkedin.com/in/jzackallen", "lastName" : "Allen", "firstName" : "Zachary", "locationString" : "Tampa, FL, USA", "currentRole" : "Senior Research Engineer, Clinical Data", "domainFeatures" : [ "healthcare", "saas" ], "technicalFeatures" : [ "dataScience", "nlp", "deepLearning" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects", "mockInterviews", "networking" ], "readme" : "## About me.\n\nMy name is Zack I am currently a ML research engineer working at an early stage start-up. I come from a clinical medicine background and mainly work with healthcare data both clinical and non-clinical.\n\nThough I am focused mostly on clinical projects I do have experience in BI and consider myself to be a bit of a generalist when it comes to data science. From a more technical perspective I have experience with many general analytics tools, but I do focus primarily on ML with much of my more recent work being in deep learning and NLP.\n\nI am a very supportive mentor, and will give general and specific advice when I can. I do however give direct feedback and call things as I see them. If I don't know something I will tell you as much , and do research myself to help you. \n\n## What I expect from mentees:\n*~10-15 hrs per week*. Depending on your current level of experience and goals, could be more, could be less.\n*Open communication*. Life happens and things come up. If you can't make a meeting or deadline just tell me and we can workout a solution.\n*Be prepared for more than just code*. There will also be meetings, writing, coding challenges, and mock interviews. If I'm putting in time I expect the same in return.\n\n## What I can help you with\n*Interview prep*. I do interviews for a range of DS positions and can help with prep and general advice.\n\n*Code review*. I write and review a lot of code. Mostly Python, but can look over JS, Java as needed.\n\n*Projects*. I can help you develop an end to end project. Preferably something that is either a standalone library or a deployable containerized app.\n\n*Presentations*. Some places this is important, others less so. Either way it is a good tool to have in your skillset. Explaining and presenting the inner workings of projects is important more or less across the range of DS and ML positions.\n\n\n## Frameworks\n\n* Python: NumPy, Scipy, Scikit-learn, Matplotlib, Pandas, OpenCV, Tensorflow (2.x), Keras, PyTorch, Spacy\n\n* AWS - EC2 and Sagemaker, Heroku, Docker, Apache Airflow\n\n## Now the hard question... what's your rate?\n\nI typically ask for 5-7% of a mentee's first-year salary for Income Sharing Agreement-style mentorships. I give this range because it depends on their current situation and training. This rate can be negotiated, so if you're interested in working together, let's talk!", "gitHubUrl" : "https://github.com/jzallen07", "isFormerMentee" : false }, { "_id" : "2xwQs5tYcJ3mGvZeN", "linkedInUrl" : "https://www.linkedin.com/in/connor-moffatt-994910126/", "lastName" : "Moffatt", "firstName" : "Connor", "locationString" : "Santa Ana, CA, USA", "currentRole" : "R&D Analyst at The Los Angeles Angels", "domainFeatures" : [ "healthcare", "sports", "dataForGood" ], "technicalFeatures" : [ "dataScience", "timeSeries", "analytics" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "codeReview", "mockInterviews" ], "readme" : "### About me\nData Science for Los Angeles Angles and Allium Health. Formerly NASA JPL and Princeton Gerrymandering Project. Also addicted to learning and sports. \n### What I expect from mentees\nI'm searching for mentees that are comfortable with Python/R and have at least some machine learning knowledge. However, let's talk and we'll see if we mesh. I'm not looking to put mentee's though some predefined standard protocol. I want to customize our relationship to your needs and push myself as a mentor. Whether it be projects, code reviews, discussing work, or discussing life, we'll create a plan to help achieve your goals.", "isFormerMentee" : false }, { "_id" : "BZeHcmnp9L5EcXj7e", "linkedInUrl" : "https://www.linkedin.com/in/peyton-runyan/", "lastName" : "Runyan", "firstName" : "Peyton", "locationString" : "Durham, NC, USA", "currentRole" : "Software Engineer @ Prefect", "domainFeatures" : [ "dataForGood", "software" ], "technicalFeatures" : [ "nlp", "dataScience", "dataEngineering" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "networking", "projects" ], "readme" : "### About me\nSoftware Engineer @ Prefect, formerly Senior Data Scientist @ The Recycling Partnership \n### What I expect from mentees\nI currently have a mentee, so I would not reach out to me at the moment.", "isFormerMentee" : false }, { "_id" : "N4bKRzbX75yw8kK3s", "linkedInUrl" : "https://www.linkedin.com/in/wei-chan-wendy-xiang/", "lastName" : "Xiang", "firstName" : "Wendy", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Science Manager @ TELUS", "domainFeatures" : [ "telecom", "infrastructure" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "readme" : "### TLDR\n\nData Science Manager @ TELUS; Former/recent Data Scientist, Software Developer, and made transition into data from electrical engineering; Super passionate about technology!\n\nBased in Toronto; Works closely with new grads; Can best help with career planning, interview prep, and technical fundamentals, but open to proposals. :)\n\n### About me\n\nI am currently a data science manager at TELUS as part of the Advanced Analytics and AI team, based out of Toronto. I started with this team in 2020 as a software developer, transitioned into data science, grew with the team (we are almost doubled in size and growing!) and finally started supporting the team a few months ago. \n\nMy academic background is electrical engineering (and did a Masters in Management Analytics) but have been coding and working with databases since co-op days. I would call myself a generalist, touching data engineering, analytics, data science, and now venturing into ML Ops. From the business perspective, I’ve worked on projects that spans marketing, client care, engineering, revenue, and fraud. \n\nThroughout my career I’ve been involved in many recruitments efforts from career fairs to hackathons and most recently in many many rounds of hiring for data science talent. I would love to be able to offer any small insights that are useful and help you through the journey. \n\n### What I can help you with\n\n**Career planning** - data is a big space and sometime you just need some direction and how to get there. I’ve struggled quite a bit myself and would love to share what I found. \n\n**Projects** - from translating business problems to data science models to building a project to debugging, I love it all! (Although expertise of debugging is variable :P) \n\n**Prep interviews** - currently interview a lot of data scientists of different levels from behavioural questions to technical assessments \n\n**Presentations** - communicating results is half the battle, I can help you construct a story, practice delivery, and make some very beautiful decks \n\n**Your biggest cheer leader** - honestly, just being with you every step of the way, and being your supporter and advocator! \n\n### What I can’t help you with\n\n**I’m not an algorithms/research expert** - in the industry space that I work in, 95% of projects are delivered with analytics and foundamental models. I’ve touched projects with NLP, computer vision, deep learning, reinforcement learning...etc. but not ready to teach more than explanining the basics.\n\n### What I expect from my mentees\n\nYou are ready to commit to this partnership and to our shared goal of finding the best job for you, you come prepared, you enjoy this process (at least most of it), and you are ready to work hard. \n\n...and oh... you don’t mind bad jokes. :)\n\n\n\n### The Appendix\n\n**Main languages:** Python, SQL\n\n**Tools:** GCP, Pandas (& all the normal ML libraries), Tableau, Airflow, Docker, relational and non-relational databases, basic scripting/APIs/deployment", "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : false }, { "_id" : "MGQcDMppPmS3KNQJp", "linkedInUrl" : "https://www.linkedin.com/in/vikram-ardham-phd/", "lastName" : "Ardham", "firstName" : "Vikram", "locationString" : "Ottawa, ON, Canada", "currentRole" : "Lead Data Scientist at Noibu", "domainFeatures" : [ "research", "saas", "eCommerce" ], "technicalFeatures" : [ "dataScience", "nlp", "dataEngineering" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews", "projects", "networking" ], "readme" : "## About me\nLead Data Scientist Noibu Techonolgies, Inc., Canada. Our company helps e-commerce companies (like Guess, Snipes, Champion) fix most revenue-impacting bugs on their websites worldwide. My team builds the algorithms and models behind a lot of insights we deliver to our customers.\n\nPrior to this, I have conducted deep-learning research applied to time-series data and built auto-encoder deep neural networks to assist separate different kinds of blood cells in breast cancer patients. Prior to that, I have built algorithms and worked on simulations in Theoretical Chemistry studying nano-materials. I have a Ph.D. in Computational Sciences obtained from one of the top research labs in Germany. \n\nAlthough I do enjoy working with state-of-the-art technologies and building complex models, I understand that any model is only as good as the business value it generates. Therefore, I am business value-driven and often rely on very simple models, and spend most of my time on getting the right data with the right infrastructure. I think this is worth mentioning here because a lot of new entrants to Data Sciences learn this fact the hard way and I would to help them not make such mistakes.\n\nI have grown up in cross-cultural environments gained international experience by living in 5 countries. I understand the challenges of making in Data Science as an outsider (coming from a different background or coming from a different country). I have excelled in navigating several accompanying challenges of being an outsider and would love to help you make the transition into the amazing field of Data Sciences.\n\n## What I can help you with\n\n### Prep interviews. \nI interview Data scientists and Software Engineers fairly regularly.\n\n### Code reviews. \nI am a semi-software developer too and write a lot of code. I am fluent in C++, Rust, Python, Julia and Matlab.\n\n### Projects. \nI have led and managed several successful projects.\n\n### Communication. \nThis is a very important aspect of a Data Science role as you constantly communicate your ideas with businesspeople and engineers.\n\n### Networking. \nI can definitely help you build new connections.", "isFormerMentee" : false }, { "_id" : "Hw9BK4g37iArk5Rxk", "linkedInUrl" : "https://www.linkedin.com/in/manasnarkar/", "lastName" : "Narkar", "firstName" : "Manas", "locationString" : "Toronto, ON, Canada", "currentRole" : "Director Data Engineering and Data Science", "domainFeatures" : [ "consulting", "finance", "software" ], "technicalFeatures" : [ "dataEngineering", "dataScience", "recommenders" ], "mentorshipOfferings" : [ "oneOnOneCalls", "codeReview", "projects", "networking", "mockInterviews" ], "readme" : "### About me\n15+ years of full stack experience building e2e solutions in various domains. Built and led data science consulting practices for last few years. Mentored/coached at various levels to build high performance teams. Expertise: Cloud, Data ,Machine Learning \n### What I expect from mentees\nI am looking for mentees at any level in their career that want to get into a profession of cloud, data engineering and machine learning or already in the profession and want to grow further. I am flexible to work with you to create a practical plan according to your goals.", "isFormerMentee" : false }, { "_id" : "8KvbfZBT5CBNyXhi7", "linkedInUrl" : "https://www.linkedin.com/in/xie-yijun/", "lastName" : "Xie", "firstName" : "Yijun", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist @ Shopify", "domainFeatures" : [ "finance", "eCommerce" ], "technicalFeatures" : [ "dataScience", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "codeReview", "networking" ], "readme" : "### About me\nSenior Data Scientist @ Shopipy, ex-Data Scientist @ RBC \n### What I expect from mentees\nI am looking for mentees with basic understanding of data science and have some previous coding experience. I will provide help in job searching, resume, mock interviews, and building necessary skills.", "isFormerMentee" : false }, { "_id" : "uWfJr7A6S2yojDNYN", "linkedInUrl" : "https://www.linkedin.com/in/labeebk/", "lastName" : "Khan", "firstName" : "Labeeb", "locationString" : "Mississauga, ON, Canada", "currentRole" : "Data Scientist at AMD", "domainFeatures" : [ "finance", "insurance", "gaming" ], "technicalFeatures" : [ "dataScience", "analytics", "webDevelopment" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "# Labeeb Khan\n\nI am a Machine Learning Engineer at AMD. You can find a summary of my profile and experiences via [LinkedIN](https://www.linkedin.com/in/labeebk/). I work with students who are looking to get into data science, machine learning, or software engineering. \n\n------------------------\n\n## Requirements\n\n- Undergraduate degree in a related field (otherwise, a lot of self-taught knowledge from project work or courses)\n- Strong passion and interest in at least 2 of 3 things: Programming/Computer Science, Modelling, and solving Business Problems\n- Available to commit minimum 10 hours a week on improvement work (writing code, reading tutorials/books, interview prep, etc.) \n- Strong communication skills\n- Familiar with `Python`", "isFormerMentee" : false }, { "_id" : "wXttZ2wBH9MPdRFzC", "linkedInUrl" : "https://www.linkedin.com/in/marina-wyss", "lastName" : "Wyss", "firstName" : "Marina", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist II, Machine Learning @ Twitch", "domainFeatures" : [ "edtech", "dataForGood", "government" ], "technicalFeatures" : [ "deepLearning", "nlp", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "projects", "oneOnOneCalls" ], "readme" : "### About me\nHello! I am a machine learning-focused Data Scientist at Twitch. I have had a bit of a winding career path and worked in public policy, non-profits, and small business management before finding data science while completing my Master's degree in Germany. I know how challenging it can be to break into data science from a non-traditional or non-technical background, but I also know first-hand that it can be done!\n\nWhile I currently focus on machine learning (especially deep learning, NLP, and MLOps), I have a background in causal inference and statistical analysis, and am happy to help folks who are interested in any and all of the above. \n\nI'm particularly interested in working with mentees from diverse and non-traditional backgrounds who are making the transition into data science.\n\n### How I can help\nI can provide help with guiding your studies (there's a lot to learn, so focusing can be a challenge), suggesting projects, code review, CV/resume help, and improving your interview skills, both from a technical perspective as well as selling any skills you may bring from outside of data science as strengths.\n\n### What I expect from mentees\nThis is a challenging process that requires dedication. I would expect you to be able to commit around 20 hours per week to reaching out to employers, skills development, and interview prep. In particular, I'm big on interview preparation, so will expect you to have deliverables before and after each interview, as well as continually make progress on your personal projects.\n\nIf something isn't working for you, please communicate that to me promptly so that we can make a change and help you succeed.\n\nI don't have any specific requirements for technical skills, but if you are newer to the coding side of things you should be ready to put in additional work to get up to speed.\n\n**Please reach out if it sounds like we might be a fit!**", "isFormerMentee" : false }, { "_id" : "uuXPYTNw8uB2RbX5m", "linkedInUrl" : "https://www.linkedin.com/in/mkashef/", "lastName" : "Kashef", "firstName" : "Marwan", "locationString" : "Toronto, ON, Canada", "currentRole" : "BI Engineer @ Amazon", "domainFeatures" : [ "eCommerce", "humanResources", "transportation" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "codeReview", "projects", "oneOnOneCalls" ], "readme" : "### About me\nBI Engineer @ Amazon\n\nFormerly, \n- Data Scientist @ RVezy\n- Data Science Instructor @ University of Ottawa \n- SQL/Tableau/Excel Bootcamp Instructor @ LighthouseLabs\n- Sr. Data Analyst @ PeopleInsight Workforce Analytics\n\nMaster of Management in Artificial Intelligence (MMAI), Queen's University \n### What I expect from mentees\nI'm looking for mentees who are comfortable with analytics and want to take their skills to the next level. I can mentor in multiple domains ranging from being an expert at data visualization with Tableau/PowerBI to writing world class queries in any type of SQL to writing machine learning models with sklearn. \n\nI originally transitioned from a finance background 8 years ago, so I'm open to mentoring anyone who is ready to embark on a major pivot into data science. Time commitment will depend on the needs of the prospective mentee.", "isFormerMentee" : false }, { "_id" : "czMx3NnuwZZmdg9vL", "linkedInUrl" : "https://www.linkedin.com/in/jessiewang158/", "lastName" : "Wang", "firstName" : "Jessie", "locationString" : "Calgary, AB, Canada", "currentRole" : "Data Scientist", "domainFeatures" : [ "naturalResources" ], "technicalFeatures" : [ "dataScience", "computerVision", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "networking" ], "readme" : "### About me\nData Scientist at ConocoPhillips; MSc from the University of Alberta \n### What I expect from mentees\nI am looking for mentees that already have entry-level knowledge of Python and are looking to apply to Data Science positions. I am willing to provide code-review, mock interview, and full-stack Data Science project opportunities. I'm especially interested in mentoring someone from math/stats/hard STEM but would be open to chatting in other cases as well.", "isFormerMentee" : false }, { "_id" : "3Apnw6q8epoZqYXpA", "linkedInUrl" : "https://www.linkedin.com/in/mikhailklassen/", "lastName" : "Klassen", "firstName" : "Mikhail", "locationString" : "Boston, MA, USA", "currentRole" : "Chief Technology Officer at Paladin AI", "domainFeatures" : [ "research", "edtech" ], "technicalFeatures" : [ "dataScience", "visualization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "codeReview" ], "readme" : "### About me\nCTO @ Paladin AI, an AI startup building adaptive learning tech for aerospace. PhD in computational astrophysics. Co-authored \"Mining the Social Web, 3rd Ed.\" (O'Reilly Media). \n### What I expect from mentees\nI'm looking for mentees already comfortable with Python who can commit to 10+ hours per week to developing their data science skills. I will provide regularly one-on-one meetings via Zoom and will help you build a core set of skills and portfolio of projects to strengthen your CV and get hired into a data science role. I can provide some code review and feedback on how to present yourself in a job interview and on your CV. Math/stats/hard STEM preferred, but open to chatting in other cases as well.", "gitHubUrl" : "https://github.com/mikhailklassen", "websiteUrl" : "https://mikhailklassen.com", "isFormerMentee" : false }, { "_id" : "wZk9zQedM7bGJ6ZDo", "linkedInUrl" : "https://www.linkedin.com/in/maithrreye/", "lastName" : "Srinivasan", "firstName" : "Maithrreye", "locationString" : "Edmonton, AB, Canada", "currentRole" : "Data Scientist @ Alberta Machine Intelligence Institute (AMII)", "domainFeatures" : [ "research", "naturalResources", "consulting" ], "technicalFeatures" : [ "deepLearning", "nlp", "unsupervised" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "### About me\nMachine learning Scientist@ Amii, formerly @Microsoft @Painworth \n### What I expect from mentees\nI'm looking for mentees who have familiarity with any programming language and want to move to data science, be it a data engineering, data analyst or other ML role. I will provide code review and regular one-on-one meetings and can probably help most with checking projects of your interest in end-to-end fashion. I am someone who switched career to data science from customer success role so I might also help you navigate the change. I am open to chat in any other cases as well.", "isFormerMentee" : false }, { "_id" : "hAM8gTRzNgpd38hbb", "linkedInUrl" : "https://www.linkedin.com/in/alitozan/", "lastName" : "Tozan", "firstName" : "Ali", "locationString" : "Waterloo, ON, Canada", "currentRole" : "Data Scientist @Microsoft", "domainFeatures" : [ "retail", "digitalMarketing", "research" ], "technicalFeatures" : [ "dataScience", "analytics", "tabular" ], "mentorshipOfferings" : [ "mockInterviews", "projects", "codeReview", "oneOnOneCalls" ], "readme" : "### About me\nData Scientist @Microsoft \nWorking on the growth of 200+ million OneDrive active user base by analyzing large scale telemetry data and generating insights, creating input/output metrics, and conducting experiments.\n\nData Scientist @LoyaltyOne\nBuilt lots of Machine Learning models and shipped them \n### What I expect from mentees\nI'll fill this section later..", "isFormerMentee" : false }, { "_id" : "obLqkc5wbbT8xYWKc", "linkedInUrl" : "https://www.linkedin.com/in/navidmashinchi/", "lastName" : "Mashinichi", "firstName" : "Navid", "locationString" : "Irvine, CA, USA", "currentRole" : "Data Scientist at Kohl's | Adjunct Professor at University of Denver | Data Science Mentor at SharpestMinds", "domainFeatures" : [ "retail", "sports", "logistics" ], "technicalFeatures" : [ "dataScience", "visualization", "analytics" ], "mentorshipOfferings" : [ "networking", "oneOnOneCalls", "mockInterviews", "codeReview" ], "readme" : "### About me\nI have been a data professional for +4 years. I started my career in sports analytics working for a major league soccer team called Vancouver Whitecaps FC. After that, I joined Kohl's as a data scientist, specifically working in the supply chain space. \n### What I expect from mentees\nI am looking for mentees who are either recent graduates or just started out their data science journey and are looking to break into the data science industry landing their first job. I totally understand how difficult it is to land your first data science job. I have been there and done it myself. I will provide regular one-on-one meetings to help with your personal branding, code review of your side projects, and help you prepare for interviews.", "gitHubUrl" : "https://github.com/navido89", "websiteUrl" : "https://www.navidma.com/", "isFormerMentee" : false }, { "_id" : "dg6sSYkzqAP3GTpNb", "linkedInUrl" : "https://www.linkedin.com/in/mehrshad-mehboudi-81231a39/", "lastName" : "Mehboudi", "firstName" : "Mehrshad", "locationString" : "Boston, MA, USA", "isFormerMentee" : false }, { "_id" : "4BoKwLEzmwDN7xcDb", "linkedInUrl" : "https://www.linkedin.com/in/rmartinez32/", "lastName" : "Martinez", "firstName" : "Ricardo", "locationString" : "Atlanta, GA, USA", "currentRole" : "Data Science Manager", "domainFeatures" : [ "sports", "customerSupport", "software" ], "technicalFeatures" : [ "nlp", "productionization", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "projects" ], "readme" : "### About me\nData Science Manager at Mailchimp by Intuit. Previously worked as a software engineer then transitioned into a data scientist and now serving my current role. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit around 10hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and and any professional advice in how to grow and success in the field.", "isFormerMentee" : false }, { "_id" : "PjrFju4igReeCMMb6", "linkedInUrl" : "https://www.linkedin.com/in/hosseinkalbasi/", "lastName" : "Kalbasi", "firstName" : "Hossein", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @ Concured", "domainFeatures" : [ "socialMedia", "manufacturing", "healthcare" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "productionization" ], "readme" : "### About me\nData Scientist @Concured\nTechnical Leader, Mentor, Trainor, Entrepreneur", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : false }, { "_id" : "EpnaNkN28EcH6eMwN", "linkedInUrl" : "https://www.linkedin.com/in/haebichan/", "lastName" : "Jung", "firstName" : "Haebichan", "locationString" : "Mountain View, CA, USA", "currentRole" : "Data Scientist @Moveworks", "domainFeatures" : [ "finance", "software", "saas" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist @Moveworks; formerly @Recurly and @United Nations. Former Project Lead @ TowardsDataScience.com (TDS), where I built out their youtube platform with CSDojo, the youtuber. I led 12+ interviews with top leaders/C-level executives of the Data Science industry on exclusive job interview tips, pitfalls, suggestions. \n### What I expect from mentees\nI'm looking for mentees willing to commit 5~10 hours a week on executing proven steps for breaking into the data science industry (in the shortest amount of time). My tips/nuggets of wisdom are unconventional -- such as minimizing words in resumes to bypass ML systems used by recruiters to auto-filter resumes. I broke into the data science industry myself as an English major just after 3 months of job hunting. All with the right resources and mentorship I received through my Project Lead position at TowardsDataScience.com. \n\nI don't have preferences in educational background. I can help you with resumes/cover letters, projects, stats/ML concepts, and providing emotional support (job searching is hard, I get it). Furthermore, I will teach you how to interview correctly. What you need to avoid, what you need to double tap on, how to accelerate your time in getting a job. In fact, I'm also currently building out a standardized mentoring/teaching curriculum lasting 2/3 months for more guided training. To be shared soon!", "gitHubUrl" : "https://github.com/haebichan", "isFormerMentee" : false }, { "_id" : "QJN3iJ2E2SHDwqSAh", "linkedInUrl" : "https://www.linkedin.com/in/roysaura/", "lastName" : "Roy", "firstName" : "Saurav", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Manager, Data Engineer @ Scotiabank", "domainFeatures" : [ "finance", "software" ], "technicalFeatures" : [ "dataEngineering", "analytics", "productionization" ], "mentorshipOfferings" : [ "networking", "oneOnOneCalls", "codeReview", "mockInterviews" ], "readme" : "### About me\n\nMy name is Saurav and I am a senior manager, data engineering at Scotiabank. I have a Computer Science background from the University of Toronto.\n\nI have been working with various open-source big data tools such as spark, python, SQL data lakes, etc, in different environments such as Azure, GCP, DataBricks as well as on-prem since 2017. I have held data and machine learning engineering roles in various large financial services institutions such as Ontario Teachers’ Pension Plan, OMERS, and Scotiabank. \n\nI have led various cross-team collaboration Data Science and Data Engineering initiatives such as scalable model monitoring, ETL pipelines, Data Governance and compliance, pipeline security, and usage of cutting-edge ML models with spark.\n\n### What I can help you with\n#### Job Search, Referrals, etc\n#### Prep interviews. \nI interview Data Engineers frequently. I love it.\n\n#### Code reviews. \nI work with a ton of different people and read a ton of code. Mostly Python and Pyspark, SQL - if really really necessary- JS.\n\n#### Projects. \nAs a manager, I hop from project to project and can work under pressure. \n\n#### Presentations. \nThis is probably more important in some jobs than in others. I regularly present in front of audiences ranging from clients to wild data scientists. Good presentation skills will help in job interviews too. A lot.\n\n#### Networking. \nI got all my jobs through networking. Best way to get jobs.\n\n#### Salary Negotiations. \nNegotiated with a couple of employers", "isFormerMentee" : false }, { "_id" : "4Xo3EX9n5HT43CP9t", "linkedInUrl" : "https://www.linkedin.com/in/neerja-jhingan-629a7512/", "lastName" : "Jhingan", "firstName" : "Neerja", "locationString" : "Edmonton, AB, Canada", "currentRole" : "Data Scientist @ c19Wordlnews.com", "domainFeatures" : [ "socialMedia", "logistics", "healthcare" ], "technicalFeatures" : [ "dataScience", "visualization", "analytics" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "codeReview" ], "readme" : "### About me\nI have more than 7 years of experience in web development and 3 + in Data Science. I started my career as Freelancer in Data Science and presently working as Data Scientist with c19worldnews remotely. I have lot of experience in Data Collection, Data Research, Data Analysis and Data Visualization. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and sklearn and willing to commit >5 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in data science projects for practice.", "isFormerMentee" : false }, { "_id" : "vmcDsmkQMrfZkH9PW", "linkedInUrl" : "https://www.linkedin.com/in/annampenta/", "lastName" : "Penta", "firstName" : "Anna", "locationString" : "Cleveland, OH, USA", "currentRole" : "Data Engineer", "domainFeatures" : [ "consulting", "insurance" ], "technicalFeatures" : [ "dataEngineering", "productionization", "webDevelopment" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "codeReview", "projects" ], "readme" : "### About me\nHi, I’m Anna! I’m a Data Engineer at Progressive Insurance. Currently, I am part of a team that is focusing on building an enterprise-level machine learning platform for Data Scientists using Python, AWS, Kubernetes and a variety of other technologies. From time to time I perform behavioral and technical interviews for prospective Data Engineers that are looking to join my team.\n\nI am very approachable but I am also a straight shooter when it comes to my communication style. I am capable of giving (and receiving) honest feedback while also being supportive. Although, I have not been in the data space long, I have a unique professional background which includes software development, technical recruiting and communication functions. So, I have a good understanding of what is needed to break into this industry and find a role that is a good fit.\n\nOutside of my professional life, I enjoy rock climbing, mountain biking and occasionally van life-ing with my partner and two dogs. \n \n### What I expect from mentees\nI’m looking for mentees that are comfortable using Python and aren’t afraid to jump into new tech, such as cloud or container technology. A mentee should be willing to put time aside every week to work on projects, network and search for open roles. I am open to regular one-on-one meetings and can help with coding, basic modeling, cloud and CI/CD pipeline creation skills. I am interested in working with anyone who is passionate about data and is interested in checking out the engineering space.", "gitHubUrl" : "https://github.com/apenta", "isFormerMentee" : false }, { "_id" : "Dii5LsDhRNGXiiRbg", "linkedInUrl" : "https://www.linkedin.com/in/fanjiang0619/", "lastName" : "Jiang", "firstName" : "Fan", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Engineer @ Meta", "domainFeatures" : [ "consulting", "finance", "socialMedia" ], "technicalFeatures" : [ "dataEngineering", "visualization", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Engineer @Meta; Ex @Accenture, @PwC, @IBM, @Scotiabank \n\nI am currently working as a **data engineer** at Meta. I have been working in the data industry for several years. At the early stage of my career journey, I have explored various positions in the data industry, for example:\n- BI and database developer\n- Data scientist\n- Cyber security analyst\n- Data engineer / Analytical engineer\n\nEventually, I settled as a data engineer and decided to dive deep into this field as my five years goal :)\n\nIn the past several years, I've spent tons of time helping young professionals to find their first job in the data industry. I've also hosted many career events to help students better understand the job market and build up their connections with data professionals. I hope I can help you too!\n\n### Education Background\nBSc in Statistics \n\nMSc in Computing Science\n\n### What I can help with you\nWhen I got my first job in the data market, I was an international student with a bachelor's degree in statistics. I've overcome a lot of challenges as you do to step into the data industry. I fully understand your needs when you are trying to make a career move. Since I have experience working in various industries (financial, consulting, and high-tech) with multiple titles, **I can help you learn about the industry, and set up your career goal based on your needs and interests**. \n\nOther than that, I'd love to schedule **one-on-one and ad-hod meetings** with you to:\n- Help you understand the industry requirements by going through some typical job descriptions\n- Help you understand your strength and weakness by digging into your previous experience/projects \n- Polish your resume and cover letter, and answer any questions you have regarding your job applications\n- Update your LinkedIn profile\n- Let you know how to properly expand your network\n- Conduct mock interviews for technical and behavior questions\n- Most importantly, share the great achievements that you have!!\n\nI highly recommend you to take some MOOC or certificate training program (if you do not have a STEM background) before our conversation, but if your background is still not strong enough, **we can work on some projects and do code review together** so that you can have a better understanding of the technical knowledge, and your resume can look better :)\n\n### What I expect from mentees\nI'll expect my mentees to:\n- Have a STEM background, or at least have taken some training courses\n- Understand basic Python and SQL, and are willing to pick up new tech skills based on job requirements\n- Be able to commit 5-10 hours per week (to conduct job hunting-related activities)\n- Be honest and be prepared\n\n### What I don't have\nAlthough I've worn multiple hats and have done some projects related to NLP, computer vision, and machine learning, I'm not an expert in these areas. My expertise is BI development, data analytics, and data engineering. I can help you explore different areas and set up your career goal, but I'm not the best person if you want to pursue a career in these fields.\n\n### What's Next\nIf you are considering a mentorship and friendship :) please send me a message with your resume and LinkedIn profile. We can start from there and schedule a meeting to connect and learn about each other. \n\n### Please do contact me even if you see a 0 available spot. I'd like to chat and learn about your experience :)\n\nThe ISA rate will depend on your experience level and expectation of my help. I will send the official proposal if both of us are happy with the plan. Don't forget that you'll have 14 trial days after signing the contract if you change your mind :)", "isFormerMentee" : false }, { "_id" : "DMZYtJzKCc8bSdN5e", "linkedInUrl" : "https://linkedin.com/in/rdowd003", "lastName" : "Dowd", "firstName" : "Robert", "locationString" : "Denver, CO, USA", "currentRole" : "Senior Data Scientist", "domainFeatures" : [ "healthcare", "research", "media" ], "technicalFeatures" : [ "dataScience", "recommenders", "anomalyDetection" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "networking", "codeReview" ], "readme" : "### About me\nHello!\nI am a senior data scientist, with the most experience in biotechnology, healthcare & the industry. I have also worked in academic research, earlier in my career. I am looking for students who are motivated to learn, driven, & ready to take the next steps in their data science journey! \n### What I expect from mentees\nThe mentees I believe that I can be most useful for are anyone who already have at least a basic understanding/experience with python, and some data-science & analytics knowledge. As you are here to learn, I do not expect expertise and will do my best to help you grown & learn to achieve your career goals. My philosophy of mentorship is heavily based on ensuring that you are familiar with the basics (calculus, statistics, data structures, etc.), so that you are confident about your understanding of higher level principals that draw on these basics. With a background in STEM, I can be particularly useful to those looking to transition their career out of academia, research, clinical experience, and more. When it comes to my strong suits, I have expertise with python programming, machine learning algorithms, statistics, data visualization & storytelling, data pipelines & databases, and more. So if you are looking to grow as a data-focused person, preparing for exams, job interviews or your next career step, please reach out and we can discuss the best mentorship journey for you! I am also happy to discuss my experience being queer in the technology industry and happy to work with students of all backgrounds! Happy to meet up with mentees in the Denver area as well.", "gitHubUrl" : "https://github.com/rdowd003", "isFormerMentee" : false }, { "_id" : "QY9ufxhwPkWkQaBgL", "linkedInUrl" : "https://www.linkedin.com/in/sambk/", "lastName" : "Bradley-Kelly", "firstName" : "Samuel", "locationString" : "Seattle, WA, USA", "currentRole" : "Lead Machine Learning Engineer @ HBO Max", "domainFeatures" : [ "consulting", "media", "manufacturing" ], "technicalFeatures" : [ "recommenders", "dataEngineering", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls" ], "readme" : "### About me\nHi! My name is Sam and I have been a mentor to university undergraduate / graduate STEM students for the past 7 years. I look forward to transferring a lot of my mentoring knowledge onto SharpestMinds platform. Currently, I am one of the first engineers to work on HBO's Personalization / Recommender Systems. With my Summer / Fall 2022 workload, I will be available to mentor one mentee. I look forward to mentoring anyone who is interested in a pathway of Data Science / Engineering / Recommender Systems :) \n\n### What I expect from mentees\nI am looking for a mentee who is interested in Recommender Systems. If not, the mentee should have either:\n* A good idea of the industry they're targeting for their next role OR\n* A personal project that the mentee knows will help them significantly when applying for certain Data Science / Engineering jobs the mentee wants to target\n\nIf the mentee is interested in Recommender Systems, this mentee should already be very comfortable with Python, has an appetite to do a little academic research & is willing to wear many different hats (e.g. a willingness to do Data Engineering, Software Engineering, DevOps, Statistics / Mathematics / Analytics, etc). Optional: It's nice if the mentee knows Spark, sklearn & matrix factorization, but this can be learned very quickly. Bonus: The mentee wants to learn PyTorch or Tensorflow. \n\nRegardless of the project, the mentee is willing to commit to >=10 hrs per week on their active project(s). I will provide occasional code-reviews and either bi-weekly / monthly one-on-one meetings. I will help the mentee design a plan to reach their short-term and mid-term goals. NOTE: the first meeting is the most important one :) \n\nI am most interested in mentoring someone from math/stats/hard STEM and/or has some relevant work experiences. I am also open to chatting in other cases as well :)", "isFormerMentee" : false }, { "_id" : "qDSDDgwNayYPg5J4T", "linkedInUrl" : "https://www.linkedin.com/in/harsha-pathuri-a96022119/", "lastName" : "Vardhan Pathuri", "firstName" : "Sri Harsha", "locationString" : "Toronto, ON, Canada", "currentRole" : "MDM Product Lead", "domainFeatures" : [ "healthcare", "realEstate" ], "technicalFeatures" : [ "dataEngineering" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "networking", "codeReview" ], "readme" : "### About me\nMDM product lead at Colliers International", "isFormerMentee" : false }, { "_id" : "KdAQ9a7j8XQAvSyC4", "linkedInUrl" : "https://www.linkedin.com/in/saxenanayan/", "lastName" : "Saxena", "firstName" : "Nayan", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ "research", "telecom", "finance" ], "technicalFeatures" : [ "dataScience", "deepLearning", "unsupervised" ], "readme" : "### About Me\n\n\nI am a data scientist with the Chief Data Office at the [Royal Bank of Canada](https://www.rbc.com/about-rbc.html). Furthermore, I am a researcher at the ML Collective where I am working on Automated Machine Learning (AutoML), specifically projects pertaining to Neural Architecture Search. I am a graduate from the University of Toronto where I did an undergraduate degree in Statistics, Computer Science and Mathematics, where as a teaching assistant I had the opportunity to mentor and teach thousands of students across graduate and undergraduate levels.\n\nUntil recently, I was also a machine learning engineer at [WOMBO](https://www.w.ai/) where I worked on AI generated art and synthetic media. I formerly interned as a data scientist with the artificial intelligence team at [Bell Canada](https://www.bell.ca/) and have previously worked on several projects spanning topics such as multi-armed bandit algorithms, clinical trials and population dynamics during COVID-19. I have produced original research in machine learning, on topics including Neural Architecture Search, Dueling Bandit Algorithms, Item Response Theory & Gaussian Processes appearing at top machine learning venues like AAAI, IJCAI, ICML, NeurIPS, EDM, IEEE-ICALT, ICCM and more. Furthermore, I also have served on the program committee for several conferences, reviewing scientific papers to be published. \n\n\n\n### What I can help you with\n\nI will be working with you every step of the way until **we** land a job that fits what you are looking for. Some of the stuff I can help you with along the way is,\n\n**Career Planning** - Strategizing the next career move is always very important, and we will working together to make sure you are working both smart and hard by planning a decent trajectory.\n\n**Projects** - We can work on projects together, if required, and learn along the way. I will be assigning a project that meets my expertise and your interests.\n\n**Prep interviews** - We will prepare for everything from behavioural questions to technical assessments.\n\n**Self Branding** - Just like me, I know you have a compelling story too, we will work together to make sure that reflects on your resume and in your interviews.\n\n\n\n\n### What I expect from mentees\nAll skill levels and backgrounds welcome. You need to be passionate about data, be willing to work independently, tell me how you learn best, and be willing to commit time. \n\n* Self-motivated and are committed to >10 hrs per week on their projects or career building pursuits.\n* Already comfortable with Python or some other programming languages and Scikit-Learn.\n* Coming from math, physics or other quantitative STEM field.\n\n### Mentorship Structure and Fees\n\nPay-as-you go. $100/hr\n\n### Contact\nIf you're interested, please email me directly at **nayan@mlcollective.org** for a quicker response. Please send a brief bio, what you're looking to get out of this mentorship and anything else that you might want to share :)", "currentRole" : "Data Scientist, Chief Data Office @RBC", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "websiteUrl" : "https://uoft.me/nayan", "isFormerMentee" : false }, { "_id" : "i6WqdHkNRzfK6TNZZ", "linkedInUrl" : "https://linkedin.com/in/sudeepmaity", "lastName" : "Maity", "firstName" : "Sudeep", "locationString" : "Boston, MA, USA", "currentRole" : "Director, Data Science at CVS Health", "domainFeatures" : [ "consulting", "retail", "manufacturing" ], "technicalFeatures" : [ "dataScience", "analytics", "timeSeries" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls" ], "readme" : "### About me\nDirector of Data Science @ CVS Health\nEx- Deloitte, PwC, Amazon, Dell, Tata Steel \n### What I expect from mentees\nLooking forward to provide help with job search, mock interviews and data science topics.", "isFormerMentee" : false }, { "_id" : "3BH7tLZDMy6GaSCSB", "linkedInUrl" : "https://www.linkedin.com/in/rcuevass/", "lastName" : "Cuevas", "firstName" : "Rogelio", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Science, Director", "domainFeatures" : [ "finance", "research", "insurance" ], "technicalFeatures" : [ "dataScience", "nlp", "tabular" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "networking", "mockInterviews" ], "readme" : "### About me\nData scientist with hands-on and leadership experience experience in the financial, academic and educational sectors. Focus on consulting and delivering projects to multiple internal clients.\nExperience in workshop design, facilitation and mentoring. \n### What I expect from mentees\nLooking for mentees with some experience with DS python suite (sklearn, pandas, numpy, etc) who are willing to develop a production mind-set and willing to create the discipline of checking code in a repository, getting exposure to code review and getting close to principles of model deployment.", "isFormerMentee" : false }, { "_id" : "bSXEcJrjQu7eDDTAH", "linkedInUrl" : "https://www.linkedin.com/in/danrelihan/", "lastName" : "Relihan", "firstName" : "Daniel", "locationString" : "Boston, MA, USA", "currentRole" : "Quant/Programmer", "domainFeatures" : [ "finance", "government", "consulting" ], "technicalFeatures" : [ "analytics", "dataEngineering", "productionization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews" ], "readme" : "### My Experience\nThe bulk of my professional experience has been in both a quant/financial engineer and technical product manager role. The products I work on and have developed are used regularly by most Wall Street banks, large insurance firms, and even some central banks.\n\nI was a founding partner at a boutique venture capital firm targeting hard tech out of the MIT and Harvard ecosystems and have also personally invested in over a dozen startups (mainly in the Boston area). \n\nOther technical experiences include research related to securing battlefield communication networks for the U.S. Army, dozens of web/database programming contracts, and solely developing an early image annotation system on a *flip phone* well before the term \"data science\" started appearing in job descriptions. I hold a B.S. in Computer Science and Electrical Engineering from MIT.\n\n### My Mentor Experience\nI have mentored a wide range of folks over the years -- from MIT students and beginner coders to senior non-profit leaders over the past two decades. Throughout that time, I have been super-impressed with how much intelligent, motivated, and nice! people can achieve when the right opportunity is found.\n\n### What You Can Expect From Me\nOpenness, focus, and dedication to your goal. \n\nI can help you assess where you are now (both personally and technically), where you want to go with your career, and which industries/companies/groups/roles hold the most promise to get you where you want to be.\n\n### First Steps\nReach out to me and we can schedule a call and we can assess a fit. \n\n### If I Could Help With Only One Thing\nBusinesses typically do not hire people to write code, design models, build databases, etc. ( even though that is what is prominently mentioned in their job descriptions ). Businesses hire to address business needs and opportunities, which often require these technical solutions. I can help you understand and communicate this distinction to prospective employers, which will not only help you stand out in the hiring process, but, much more importantly, guide you to the role that is best suited for your long-term growth.", "isFormerMentee" : false }, { "_id" : "3z5jXv7a4SFS77suH", "linkedInUrl" : "https://www.linkedin.com/in/kishan-rasikbhai-akbari/", "lastName" : "Akbari", "firstName" : "Kishan", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @Tiget Analytics", "domainFeatures" : [ "manufacturing", "consulting", "insurance" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "mockInterviews" ], "readme" : "### About me\nData Scientist @Tiger Analytics, formerly @Rolls-Royce, Infosys \n### What I expect from mentees\nI'm looking for mentees who are curious, willing to give their best to learn new technologies, and want to break into the field of Data Science (DS). It doesn't matter whether you are from CS/IT background or not but having good knowledge of any programming language would certainly help here. I would provide one-on-one sessions where you would get better understanding on how to pace-up your journey into DS and land relevant jobs.", "isFormerMentee" : false }, { "_id" : "ewXobqWeZx36FP5DQ", "linkedInUrl" : "https://linkedin.com/in/ovokpus", "lastName" : "Okpubuluku", "firstName" : "Ovo", "locationString" : "Calgary, AB, Canada", "currentRole" : "Data Engineer @ Badal", "domainFeatures" : [ "telecom", "naturalResources", "software" ], "technicalFeatures" : [ "dataEngineering", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "codeReview" ], "readme" : "### About me\n\nI am a Data Professional with a keen focus on Machine Learning Engineering, ETL Pipelines and Cloud Development Operations. I am on a career path that leads to becoming a Machine Learning Operations Engineer with useful Data Engineering and Cloud computing skills. \n\n---\n\n### What I expect from mentees\nI am looking for self-driven mentees who are taking their first step into learning Data Science with a view to landing their first data role. I can provide coaching and guidance on learning content, learning mindset, and a roadmap to building their first Data Science portfolio project.\n\nI am also interested in mentees who have learnt a bit of the basics (Python and SQL) and need some guidance on how to take their skills to the next level.\n\nI can provide help with technical aspects of working with Data, Cloud Computing, and software development best practices.", "gitHubUrl" : "https://github.com/ovokpus", "isFormerMentee" : false }, { "_id" : "qKA4abdvMTcqJPkSm", "linkedInUrl" : "https://www.linkedin.com/in/mattgraz/", "lastName" : "Graziano", "firstName" : "Matthew", "locationString" : "Cleveland, OH, USA", "currentRole" : "Sr. Data Science Manager @Progressive Insurance", "domainFeatures" : [ "insurance", "logistics" ], "technicalFeatures" : [ "dataScience", "timeSeries", "tabular" ], "readme" : "### About me\nHello! I am currently a Sr. Data Science Manager @Progressive Insurance and Former Data Scientist @Caterpillar.\n\n### What I can offer:\nI have worked in the data science space my entire career both in individual contributor roles and now as a senior manager tasked with leading, hiring, and developing data scientists, data engineers, and business intelligence developers. Throughout my career, I have had success not just building models and technical solutions but also getting them used and translated into tangible business value. I've seen the good and the bad of data science in my career, and I am excited at the opportunity to help prospective mentees strategically curate a portfolio and present their experience to get their foot in the door. \n\nHaving worked as and leading a full-stack development team, I have broad experience across the data science lifecycle (Data pipelines, statistical modeling, machine learning, infrastructure management via infrastructure as code, deploying apis, building front ends, etc.). I look forward to not only sharing my experience and expertise but also learning from any prospective mentees too!\n\n### What I expect from Mentees:\nI am most interested in working with mentees that already have *some* technical skills be that in python, R, or another analytical language. Additionally, coming from a quantitative background (self taught or via formal education is not important) with some modeling knowledge is a plus. Lastly, there is a fundamental truism that breaking into data science, data engineering, or related development type positions is challenging. In that vein, I expect mentees to have personal drive and be willing to commit at minimum ~10 hours (preferably more) per week to their growth and development.\n\nIn return, I am thrilled to be available to help equip my mentees for success via one on one sessions (coaching, teaching, debugging, etc.), code reviews, networking opportunities, career strategy, and whatever else may materialize as a need. Ultimately, I am as invested in any prospective mentee's success as they are, and I am willing to meet regularly to drive towards attaining the mentee's goals.", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : false }, { "_id" : "WhHKKbG4FxLEodreZ", "linkedInUrl" : "https://www.linkedin.com/in/rdobu/", "lastName" : "Dobrescu", "firstName" : "Omer", "locationString" : "Toronto, ON, Canada", "currentRole" : "Engineering Manager @Mejuri", "domainFeatures" : [ "retail", "eCommerce", "software" ], "technicalFeatures" : [ "webDevelopment", "analytics", "devops" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "mockInterviews" ], "readme" : "### About me\nEngineer Manager with full-stack web-development chops! I specialize in building highly effective teams and organizations. Taken 2 start-ups from 4 employees to 20 and 80 respectively over 6 years. Ask me about my upcoming book! \n### What I expect from mentees\nExpectations from me: Career adv. advice, breaking into the industry or new field, management and team performance\n\nExpectations from you: Self-sufficient. Realistic goal setting. Some async work", "isFormerMentee" : false }, { "_id" : "3BdxRDFhJ4SppCzqH", "linkedInUrl" : "https://www.linkedin.com/in/jeff-schwaber-0b026871/", "lastName" : "Schwaber", "firstName" : "Jeff", "locationString" : "Portland, OR, USA", "currentRole" : "VP Engineering", "domainFeatures" : [ "edtech", "saas", "consulting" ], "technicalFeatures" : [ "webDevelopment" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "mockInterviews" ], "readme" : "### About me\nCo-founder of Veelo (sales enablement and training software) through to acquisition, engineering leader, agilist and coach. Primary focus is on leadership and organizational design. Hit me up if you're hoping to lead teams and run companies in your future. \n### What I expect from mentees\nI'm looking for mentees who view developing the skills to solve technical problems as a step on a path to being effective working with people, business, and customer problems. Whether you're hoping to lead teams and make organizations function better or start companies, I'm interested in burgeoning leaders of all stripes. I've got a background in web app development and I'm happy to help with the technology side but primarily in a context where it's part of a broader picture.", "isFormerMentee" : false }, { "_id" : "zS5YYpcJoNT4iLZzQ", "linkedInUrl" : "https://www.linkedin.com/in/royalsequeira/", "lastName" : "Denzil Sequiera", "firstName" : "Royal", "locationString" : "Waterloo, ON, Canada", "currentRole" : "AI Research Scientist", "domainFeatures" : [ "research", "saas", "consulting" ], "technicalFeatures" : [ "nlp", "computerVision", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "networking", "projects" ], "readme" : "### About me\nI am an AI Research Scientist at LG Toronto AI Lab; formerly, Sr. Scientist at Ada Support Inc., and a Research Fellow at Microsoft Research India. I have experience in both industry and research---productionalizing models and publishing research papers at top-tier conferences. I have 5+ years of experience in mentoring. In 2018, I founded [Sushiksha](https://sushiksha.konkanischolarship.com/), a non-profit mentoring initiative in India that has helped hundreds of students.\n\n### What I expect from mentees\n- some coding experience (preferably Python)\n- 10-15h/week commitment\n- consistency: 1h/day is better than 8h spent on a project over weekend\n- your background does not matter as long as you are willing to receive feedback and learn\n\n### How can I help you?\n- I will provide regular *one-on-ones* where I will assign you some action items (projects, blog posts, research papers)\n- Several *mock interviews* to build your understanding\n- Resume and LinkedIn profile *reviews*\n- I will help you build *networking* opportunities\n- Finally, more than anything, I will provide you counsel and help you through your hard times\n\n__Fun facts about me:__\nI'm an avid reader and in general a highly curious being. Among other things, I like to learn new languages, do woodworking (ask me about my projects), go rock climbing, and go for long hikes/bike rides.", "gitHubUrl" : "https://github.com/rosequ", "isFormerMentee" : false }, { "_id" : "FkNW5edSCy2TtmccS", "linkedInUrl" : "https://www.linkedin.com/in/naeim-bahrami/", "lastName" : "Bahrami", "firstName" : "Naeim", "locationString" : "San Diego, CA, USA", "currentRole" : "Lead AI Scientist, Computer Vision at GE Healthcare", "domainFeatures" : [ "healthcare", "consulting", "software" ], "technicalFeatures" : [ "deepLearning", "computerVision", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls" ], "readme" : "### About me\nI am a Lead AI Scientist, Computer Vision at a fortune 50 company and am leading numerous of projects and a team of scientists (data, AI, and clinical scientists) \n### What I expect from mentees\nI am looking for mentees with any level of education and experience who are looking to find their first job or move up in the ladder from where they are. Mentees should have a minimum level of familiarity with at least one programming language (R or Python) and willing to commit 5-10 hours per week on a full-stack Data Science project. I will provide code-review, regular one-on-one meetings to provide hands on help and feedback in building your model demo if you are interested. I am especially interested in mentoring candidates from STEM who need mentorship is their programming skills, AI and Data Science understanding, resume review, interview guidance, and job search.", "isFormerMentee" : false }, { "_id" : "DedJCkDAcqchZpPpc", "linkedInUrl" : "https://www.linkedin.com/in/ernest-namdar/", "lastName" : "Namdar", "firstName" : "Ernest", "locationString" : "Toronto, ON, Canada", "currentRole" : "Biostatistical Analyst @ SickKids", "domainFeatures" : [ "healthcare", "research", "manufacturing" ], "technicalFeatures" : [ "computerVision", "tabular", "deepLearning" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects", "mockInterviews" ], "readme" : "### About me\nIT and Computer Engineering background + two bachelor’s and two master’s degrees\n\nMicroMasters in Statistics and Data Science\n\nPh.D. student in Medical Science at the University of Toronto\n\nVector Institute Affiliated Researcher \n### What I expect from mentees\nPassion is all you need to have. What I “can” provide is broad. It might include suggesting a course, defining a sample project, setting up a mock interview, clarifying a technical concept, etc. However, what I “should” provide is a personalized package. That package might be helping you to define your own project and learn in your own way.\n&there will be bonus parts for those who love research ;)", "isFormerMentee" : false }, { "_id" : "t2pJwMBHtLoaC5AaQ", "linkedInUrl" : "https://www.linkedin.com/in/nima-tajbakhsh-b5454376/", "lastName" : "Tajbakhsh", "firstName" : "Nima", "locationString" : "Los Angeles, CA, USA", "currentRole" : "Senior ML/DL engineer @ Nvidia", "domainFeatures" : [ "healthcare", "research", "software" ], "technicalFeatures" : [ "computerVision", "deepLearning", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls" ], "readme" : "### About me\nYou want to ace AI interviews? Or need help build an AI career? I am here to help! Hi, I’m Nima! Over the past 15+ yr, I have developed/applied various (semi/self)-supervised AI/ML models for both 2D/3D images. My current focus: multimodal learning using massive noisy datasets. (+7k citations) \n### What I expect from mentees\nYou: 1) serious about finding a well-paid job in a great tech firm; 2) equipped with some experience in ML/AI, and need to deepen your AI knowledge; 3) able to allocate 10hrs/week\nMe: 1) committed to help you land a great job; 2) provide you with a list of topics and subtopics to read each week; 3) weekly meetings to rectify/deepen your understanding of the topics; 4) unlimited chat support throughout the day", "websiteUrl" : "https://scholar.google.com/citations?user=ijvq8uuaaaaj&hl=en", "isFormerMentee" : false }, { "_id" : "D2seoxznubr2pMhsH", "linkedInUrl" : "https://www.linkedin.com/in/d-destefano/", "lastName" : "DeStefano", "firstName" : "David", "locationString" : "Boston, MA, USA", "currentRole" : "Tech Lead, Machine Learning Platform", "domainFeatures" : [ "finance", "customerSupport", "healthcare" ], "technicalFeatures" : [ "dataEngineering", "devops", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects", "codeReview" ], "readme" : "### About me\nMachine Learning Platform and Operations lead at Nomad Health, building our ML platform from the ground up. I am also Head of the MLOps Community in Boston, where I bring together businesses, practitioners and students to discuss MLOps. Industries: health tech, adtech, edtech and customer support. \n### What I expect from mentees\nI'm looking to support anyone looking for support in their next journey. As someone who is constantly hiring and has also searched for the right fitting job, I understand the biggest challenges engineers typically face is marketing themselves and standing out in the interview process as not only a sharp DS/ML/ENG but culturally as well.", "isFormerMentee" : false }, { "_id" : "PQeLPRzhXBLuEtMWn", "linkedInUrl" : "https://www.linkedin.com/in/masashi-omori-24548476", "lastName" : "Omori", "firstName" : "Masashi", "locationString" : "San Francisco, CA, USA", "currentRole" : "Senior Data Scientist @ Chegg", "domainFeatures" : [ "edtech", "cybersecurity" ], "technicalFeatures" : [ "dataScience", "analytics", "tabular" ], "mentorshipOfferings" : [ "oneOnOneCalls", "codeReview", "mockInterviews", "projects" ], "readme" : "### About me\nI have been a data scientist at Chegg for 3 years working on various parts of the product: \n- Building recommendations that power personalization throughout Chegg.\n- Driving A/B testing best practices.\n- Working on automation for experimentation/model deployment. \n### What I expect from mentees\nLooking for mentees with some level of comfort in python and pandas and willing to commit > 10 hrs per week on a data science project. I will be there to guide your project through suggestions, bouncing ideas off of each other, code reviews, and regular 1-1 meetings.", "isFormerMentee" : false }, { "_id" : "8G3HfrzjveuAPZXGJ", "linkedInUrl" : "https://www.linkedin.com/in/triveni-putti/", "lastName" : "Putti", "firstName" : "Triveni", "locationString" : "Austin, TX, USA", "currentRole" : "Data Scientist @Shopify", "domainFeatures" : [ "healthcare", "eCommerce", "consulting" ], "technicalFeatures" : [ "dataScience", "visualization", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking" ], "readme" : "### About me\nData Scientist @Shopify, 6 Years of experience in Data Science with a Masters degree \n### What I expect from mentees\nI am looking for mentees who are actively preparing to interview for a Data Analyst or Data Scientist role and are willing to commit >10 hours per week. I just came out of my job preparation phase and my prep helped me land Data Science/Product Analyst jobs in companies like Shopify, Google, realtor.com, CVS etc. So, I can share my knowledge and experience. I will help the mentee \n1. building strong Data Science and coding fundamentals by pointing to the right resources and helping them understand the core concepts \n2. help with any Data Science projects \n2. resume review, what to expect in an interview and how Data Science jobs vary at different companies", "isFormerMentee" : false }, { "_id" : "vnuR4sovXTfkMgqo5", "linkedInUrl" : "https://www.linkedin.com/in/alice-cecile-183116a3/", "lastName" : "Cecile", "firstName" : "Alice", "locationString" : "Waterloo, ON, Canada", "currentRole" : "Open Source Technical Program Manager, Bevy", "domainFeatures" : [ "gaming", "research", "naturalResources" ], "technicalFeatures" : [ ], "mentorshipOfferings" : [ "codeReview", "networking", "projects", "oneOnOneCalls" ], "readme" : "### About me\nEcologist turned game engine creator, with a splash of machine learning.\n\nI care deeply about helping people show that they're worth a shot.\n\nCurrently building Bevy, and open source Rust game engine.", "isFormerMentee" : false }, { "_id" : "NAjwz9STw8iPLHf6G", "linkedInUrl" : "https://www.linkedin.com/in/pjiang2016", "lastName" : "Jiang", "firstName" : "Peng", "locationString" : "Los Angeles, CA, USA", "currentRole" : "Sr Data Scientist @ Amazon", "domainFeatures" : [ "finance", "digitalMarketing", "eCommerce" ], "technicalFeatures" : [ "dataScience", "computerVision", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "projects", "networking", "codeReview" ], "readme" : "### About me\nSr Data Scientist @Amazon, ex-BCG. I have proven ability of delivering actionable insights to various audiences. I successfully improved business on a wide variety of topics, including credit risk, marketing, consumer finance, fraud detection, safety and operational risk using SOTA ML models. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python and SQL (beginner to intermediate level) and willing to commit >10 hrs per week on a full-stack Data Science project. I will provide ML scope design, code-review, regular one-on-one meetings and mock interviews. I'm open to mentoring someone from STEM major who wants to work on data-related roles.", "isFormerMentee" : false }, { "_id" : "y2z45jLM6LzaoqABp", "linkedInUrl" : "https://www.linkedin.com/in/asad-norouzi/", "lastName" : "Norouzi", "firstName" : "Asad", "locationString" : "Toronto, ON, Canada", "currentRole" : "Algo Team Lead @LeddarTech", "domainFeatures" : [ "selfDriving", "robotics", "research" ], "technicalFeatures" : [ "computerVision", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nPerception Team Lead @LeddarTech, former Senior Research Scientist @Huawei Technologies Canada. Also a part-time professor @Seneca College. Heavily involved in professional organizations such as IEEE and RoboCup. \n### What I expect from mentees\nI do not expect my mentees to be from a specific background and/or have specific skills. I will first get to know them and help them accordingly. We all have different strengths and weaknesses. Knowing what my mentees are good at and what they need help with, is going to be my primary approach to helping them grow!", "gitHubUrl" : "https://github.com/asadnorouzi", "isFormerMentee" : false }, { "_id" : "FgMYELzkPgWkNcTWE", "linkedInUrl" : "https://www.linkedin.com/in/atif-m-6946b4131/", "lastName" : "Muhammad", "firstName" : "Atif", "locationString" : "Toronto, ON, Canada", "currentRole" : "Lead Data Scientist / Software Engineer", "domainFeatures" : [ "finance", "healthcare", "retail" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "productionization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "mockInterviews", "codeReview", "networking" ], "readme" : "### About me\nI have over 8 years of experience working in various industries as a Machine Learning Specialist and Senior Software Engineer. I also have a Masters in Computer Science and previously lectured Computer Science students. \n### What I expect from mentees\nI'm looking for mentees that are passionate about learning and growing in the space of Data Science and Software Engineering in general. I am willing to provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your Data Science and model productionization skills. I am open to assisting mentees from all levels.", "isFormerMentee" : false }, { "_id" : "C7Wzw3W9wuckrcGbf", "linkedInUrl" : "https://www.linkedin.com/in/c-anderson/", "lastName" : "Anderson", "firstName" : "Chris", "locationString" : "Lehi, UT, USA", "isFormerMentee" : false }, { "_id" : "xfBRBXwXY8ipyFWor", "linkedInUrl" : "https://www.linkedin.com/in/birengandhi87/", "lastName" : "Gandhi", "firstName" : "Biren", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @ TD", "domainFeatures" : [ "finance", "manufacturing", "government" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization" ], "mentorshipOfferings" : [ "oneOnOneCalls", "projects", "codeReview", "mockInterviews" ], "readme" : "### About me\nData Scientist @ TD\nBuilding Digito academy to mentor people on Data Science\nOil and Gas Industry Expert\nNon IT Background \n### What I expect from mentees\nI'm looking for mentees that have an inclination and passion for learning data and solving business problems. I will provide learning data science from the very beginning. I can also provide code reviews and regular one-on-one meetings.", "isFormerMentee" : false }, { "_id" : "GWigDw2Wygbj7v4Kx", "linkedInUrl" : "https://www.linkedin.com/in/rishabgoel0112/", "lastName" : "Goel", "firstName" : "Rishab", "locationString" : "Toronto, ON, Canada", "currentRole" : "ML Engineer", "domainFeatures" : [ "finance", "research", "socialMedia" ], "technicalFeatures" : [ "nlp", "recommenders", "deepLearning" ], "readme" : "### About me\nHi,\n\nI am Rishab, currently working as a NLP Engineer. I have expertise in various areas of ML/Data Science like NLP, Graphs, Deep learning and Recommendation systems.\n\nI have also previously mentored folks in getting quickly up to speed with current best practices in Software Dev and Machine Learning.\n\nI can provide mentorships regarding interview preparation, career advice and getting deep expertise in Data Science/ML.\n\nI am open to accepting mentees. Please reach out to me.", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : false }, { "_id" : "FC4EBQi9zNNy5KdsG", "linkedInUrl" : "https://www.linkedin.com/in/sean-farquharson-a52908140/?originalsubdomain=ca", "lastName" : "Farquharson", "firstName" : "Sean", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Scientist @ Maple Leaf Sports & Entertainment", "domainFeatures" : [ "government", "sports", "gaming" ], "technicalFeatures" : [ "dataScience", "timeSeries", "productionization" ], "mentorshipOfferings" : [ "networking", "projects", "mockInterviews" ], "readme" : "### About me\nData Scientist in the Sports and Tech industry. Learn more about me here: https://www.linkedin.com/in/sean-farquharson-a52908140/ \n### What I expect from mentees\nI'm looking for mentees that are fairly knowledgable about python, modeling techniques, and applications of data science. I will be teaching you about my experience, being a strategic applicant, and how to stand out! More specifically, I will show you how you can prove to an employer that you add unique value.", "isFormerMentee" : false }, { "_id" : "bmnt9SFQSxDE7Tn7d", "linkedInUrl" : "https://www.linkedin.com/in/vinamra-mathur/", "lastName" : "Mathur", "firstName" : "Vinamra", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Engineer @RBC", "domainFeatures" : [ "finance", "healthcare", "consulting" ], "technicalFeatures" : [ "dataScience", "dataEngineering", "visualization" ], "mentorshipOfferings" : [ "networking", "oneOnOneCalls", "mockInterviews", "projects", "codeReview" ], "readme" : "### About me\nGlobally oriented Data Science professional with 6 years of experience across the Center of Excellence (CoE) functions in Software Development, DevOps, Cloud infrastructure (AWS), Business Analysis, Digital transformation, and Artificial Intelligence in varying roles across different companies. \n### What I expect from mentees\nI'm looking for mentees that are already comfortable with Python, pyspark, Tableau, and SQL and willing to commit >5 hrs per week on a full-stack Data Science project. I will provide code-review, and regular one-on-one meetings and can probably help the most if you're interested in building your dev-ops and model productionization skills. I'm especially interested in mentoring someone from math/stats/hard STEM/Business background, but would be open to chatting in other cases as well.", "gitHubUrl" : "https://github.com/vmathurdev", "isFormerMentee" : false }, { "_id" : "ctXg4fjx2zWx7ZWPH", "linkedInUrl" : "https://www.linkedin.com/in/sophie-jia-wang/", "lastName" : "Want", "firstName" : "Sophie", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist @ Linkedin", "domainFeatures" : [ "healthcare", "saas" ], "technicalFeatures" : [ "analytics", "dataScience" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls" ], "readme" : "### About me\nI'm a Senior Data Scientist @ Linkedin, and a former english teacher. I have a worked in small startups as well as big companies. My expertise is in product analytics ranging from proving causality via a/b testing to guiding product strategy with data\n### What I expect from mentees\nI'm looking to guide mentees that are interested in entering a career in product analytics data science.\n\nSome parts of my toolkit:\nLanguages: SQL, Python\nTechniques: defining metrics, a/b testing, regressions / modeling for analyses\nWorkflow tools: scheduling tools such as cron, airflow, Github, dashboarding tools\n\nI can guide you through the career preparation process ranging from what materials to learn to interview practice to negotiating your offers", "isFormerMentee" : false }, { "_id" : "WyWWL6sHsBdbXoRWS", "linkedInUrl" : "https://www.linkedin.com/in/olgamilkovska/", "lastName" : "Milkovska", "firstName" : "Olga", "locationString" : "Toronto, ON, Canada", "currentRole" : "Strategic Insights Analyst, Team Lead at LinkedIn", "domainFeatures" : [ "digitalMarketing", "socialMedia", "logistics" ], "technicalFeatures" : [ "analytics", "dataScience", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects", "networking" ], "readme" : "### About me\n\nData Analytics @LinkedIn and Instructor @Brainstation; \n\nI am currently working as a Strategic Insights Analyst, Team Lead at LinkedIn Marketing Solutions and Data Analytics Instructor at Brainstation. I have been working in the data industry for 7 years mainly focusing on digital marketing analytics. In the past, I worked at Amex, Mindshare, Ubisoft and currently work at LinkedIn and Brainstation. I love data, coding and stats. \n\nEducation: Bachelor in Mathematics, Masters in Applied Statistics \n\n### Technical Skills\n- SQL\n- Tableau / Power BI\n- Python / R\n\n### What I can help you with\n- Interview Prep: I interview for Data Analytics position so I will be happy to do mock-interviews\n- Code Review: Love troubleshooting code! \n- Project Management: As I led large scale projects in the past, I will be happy to provide my POV and brainstorm together\n- Stakeholder Management: I work with different cross functional partners, so can provide coaching sessions on 'managing up' and influencing your stakeholders \n\n\n### What I expect from mentees\n- Be honest, be prepared, be open-minded\n- Be ready for honest and constructive feedback\n- Be able to commit 5-10 hours per week (for projects and job hunting-related activities)", "isFormerMentee" : false }, { "_id" : "BubK5oC823Q5z7fE9", "linkedInUrl" : "https://www.linkedin.com/in/adg/", "lastName" : "George", "firstName" : "Andrew", "locationString" : "Durango, CO, USA", "currentRole" : "Senior Data Scientist", "domainFeatures" : [ "insurance", "manufacturing" ], "technicalFeatures" : [ "dataScience", "analytics", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls", "codeReview", "networking", "projects" ], "readme" : "# About Me\nHello, my name is Andrew George! I am a Senior Data Scientist at Progressive Insurance. I currently work on an internal consulting team tasks with strengthening our data science environment through projects, community efforts, tooling R&D, etc. I am very fortunate to work on a variety of projects in different business areas. \n\nBefore joining Progressive, I earned a master's degree in applied data science as well as a bachelor's degree in informatics at Indiana University through an accelerated program. While completing these degrees, I had the opportunity to work as a Peer Mentor for the [LiFT Scholars Program](https://liftscholars.soic.iupui.edu/). As a peer mentor, I helped over two dozen mentees improve their employment chances by revising their resumes, cover letters, and preparing for interviews (mock interviews, creating relevant STAR experience examples, formulating pertinent questions for the interviewer, etc.). Helping recent graduates (both traditional and non-traditional) as well as people making a career transition land their first data science job is a strong passion of mine. \n\n# Highlights\n### Education:\n- M.S. Applied Data Science\n- B.S. Informatics\n- B.A. Philosophy\n- A.S. Cybersecurity/Information Assurance\n- A.S. Software Development\n### Certifications\n- AWS Certified Solutions Architect Associate\n- Professional Scrum Master I\n- Salesforce Certified Administrator\n- CompTIA A+ \n\n# What I Expect From My Mentees\nI am looking for mentees who are willing to commit 5-10 hours per week", "isFormerMentee" : false }, { "_id" : "xwEwMppQwKdtmywPx", "linkedInUrl" : "https://www.linkedin.com/in/yensonlau/", "lastName" : "Lau", "firstName" : "Yenson", "locationString" : "Toronto, ON, Canada", "currentRole" : "Machine Learning Scientist (formerly @ Layer 6 AI)", "domainFeatures" : [ "finance", "research" ], "technicalFeatures" : [ "deepLearning", "nlp", "tabular" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls" ], "websiteUrl" : "http://yenson-lau@github.io", "isFormerMentee" : false }, { "_id" : "2NsrsxhWoDsiuMj3g", "linkedInUrl" : "https://www.linkedin.com/in/david-peletz/", "lastName" : "Peletz", "firstName" : "David", "locationString" : "San Francisco, CA, USA", "currentRole" : "Data Scientist @ Future", "domainFeatures" : [ "finance", "software" ], "technicalFeatures" : [ "dataScience", "nlp", "deepLearning" ], "mentorshipOfferings" : [ "codeReview", "mockInterviews", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist @ Future, UC Berkeley MIDS Alum \n### What I expect from mentees\nI'm looking for mentees that are willing to commit to ~10 hours/week to working on data science projects, resumes, interview prep, and technical interviews. I'm happy to provide code reviews, resume reviews, 1-on-1 meetings, mock interviews, and anything else that'd be valuable.", "isFormerMentee" : false }, { "_id" : "c32anD2CruyxG7J7y", "linkedInUrl" : "https://www.linkedin.com/in/ahmedelbagoury/", "lastName" : "Elbagoury", "firstName" : "Ahmed", "locationString" : "Waterloo, ON, Canada", "currentRole" : "ML Engineer @ Google", "domainFeatures" : [ "software", "research" ], "technicalFeatures" : [ "nlp", "deepLearning", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls" ], "readme" : "### About me\nI am an ML engineer at Google where I am responsible for ML models e2e that process large volume of data. Before that I spent some time in academia doing research in ML and Data Mining.\n\nI can help with getting started in ML and giving practical insights. Can help also with interview preparation: coding, system design and ML. \n### What I expect from mentees\nI can support mentees with different range of experience: New to ML or have some experience and need to sharpen their skills.\n\nI expect mentees to have coding skills and familiarity with python.", "isFormerMentee" : false }, { "_id" : "jb4L26b5qB3uJDN4E", "linkedInUrl" : "https://www.linkedin.com/in/cheng-qian-22890625/", "lastName" : "Qian", "firstName" : "Cheng", "locationString" : "Chicago, IL, USA", "currentRole" : "Manager-Data Scientist @ Mcdonald’s", "domainFeatures" : [ "finance", "retail", "digitalMarketing" ], "technicalFeatures" : [ "dataScience", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "readme" : "### Hello! 👋🙂\n\nI'm a professional in Data Science, Machine Learning and Business Analytics for fortune 500 companies, including financial services and retail services. 💻🤖 During my 10-year experience in the US corporate, I also involved with the analytics/DS/ML recruiting process and understand the hiring decisions. 🚀🚀In addition, I came to US as an international student and experienced all the process of job searching, interview preparation, and career advancement. (I understand your challenges ;) )\n\nI enjoy helping young professionals with their career planning or sharing the value of being a data scientist. If you are looking for career planning, job search support, or advice to enter the Data Science / Analytics / Machine Learning fields, I'm happy to help you. 💡\n\n### I can help you find a job, including\n- Setup clear timeline and goals for job search\n- Resume review\n- Interview preparation, from recruiter screening, technical interview, to hiring managers 🦖\n- Offer negotiation\n- Job search strategies for international students 🌍\n- My **ULTIMATE** goal is to help you receive great job offer(s) 🚀🚀🚀\n\n### What I expect from mentees\nYou only need to be determined to find a job in the Data Science and Data Analytics areas. If you could commit for more than15 hrs/wk in the job search, then I can help you. Any background / technical levels are welcome.", "isFormerMentee" : false }, { "_id" : "juioyctLJHtKJiiWf", "linkedInUrl" : "https://www.linkedin.com/in/darylkang/", "lastName" : "Kang", "firstName" : "Daryl", "locationString" : "New York, NY, USA", "domainFeatures" : [ "logistics", "media", "software" ], "technicalFeatures" : [ "dataScience", "analytics", "dataEngineering" ], "currentRole" : "Sr. Data Scientist at Apple", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nData Scientist at Apple, formerly Uber, Forbes, Paramount\n\nM.S. in Data Science, Columbia University '18", "isFormerMentee" : false }, { "_id" : "RSz2wJC6QDJ4BHfsB", "linkedInUrl" : "https://www.linkedin.com/in/aniket-gupta/", "lastName" : "Gupta", "firstName" : "Aniket", "locationString" : "Surat, Gujarat, India", "currentRole" : "Community Manager @ SharpestMinds", "domainFeatures" : [ ], "technicalFeatures" : [ ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "isFormerMentee" : false }, { "_id" : "NP4Zuc4m4GsTAQ7Ae", "linkedInUrl" : "https://www.linkedin.com/in/chon-kit-pun/", "lastName" : "Pun", "firstName" : "Jack", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Science Manager @ TD Wealth", "domainFeatures" : [ "finance" ], "technicalFeatures" : [ "dataScience", "unsupervised", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "projects", "networking" ], "readme" : "### About me\nPhysicist by training, data scientist by trade \n### What I expect from mentees\nLooking for mentees who are\n- already familiar with python and sklearn\n- have experience in data analysis (descriptive, predictive)\n- preferably from STEM field\n\nI am willing to commit 3-5 hours per week on \n- providing guidance on a data science project\n- providing mock interviews (technical, behavioral, case study)", "isFormerMentee" : false }, { "_id" : "KbXTyoWu6kJMHGMQs", "linkedInUrl" : "https://linkedin.com/in/rolanddsdf", "lastName" : "Pollari", "firstName" : "Roland", "locationString" : "Toronto, ON, Canada", "domainFeatures" : [ ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "technicalFeatures" : [ ], "isFormerMentee" : false }, { "_id" : "ahQs8PYfBfi7F96MD", "linkedInUrl" : "https://www.linkedin.com/in/aksheysinghal/", "lastName" : "Singhal", "firstName" : "Akshey", "locationString" : "Ottawa, ON, Canada", "currentRole" : "ML Engineer@Windscribe", "domainFeatures" : [ "finance", "cybersecurity", "naturalResources" ], "technicalFeatures" : [ "dataScience", "analytics", "unsupervised" ], "mentorshipOfferings" : [ "mockInterviews", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\nA data professional with a broad spectrum of domain expertise, technical knowledge, and background of various data roles. Currently working as a Machine Learning Engineer at one of the best VPN provider companies namely Windscribe. Made a true impact by leveraging the power of data. \n### What I expect from mentees\nI expect my mentees to be eager to learn and motivated to improve their skills in machine learning or data science. Also, I'm looking for mentees who are comfortable with Python and SQL or have basic knowledge about data science. They may have specific goals or projects in mind that they want to work on with my guidance.\nIn return, mentees can expect me to provide them with guidance, support, and industry knowledge as they work toward their goals. Moreover, I will be a part of their journey to help them reach their goal that means that we will accomplish every milestone step by step together with all kinds of guidance from my end. I will follow up with the regular one-on-one meetings, and emails to help prepare you for the skillful data professional.\n\nI would be happy to evaluate your skillset and mentor you in the right direction to get you industry ready. Looking forward to chatting with you.", "isFormerMentee" : false }, { "_id" : "deBkNmwENFDpd5BSz", "linkedInUrl" : "https://www.linkedin.com/in/nicholastaub/", "lastName" : "Taub", "firstName" : "Nicholas", "locationString" : "New York, NY, USA", "currentRole" : "Analytics Engineer", "domainFeatures" : [ "digitalMarketing", "saas", "healthcare" ], "technicalFeatures" : [ "analytics", "dataScience", "dataEngineering" ], "mentorshipOfferings" : [ "codeReview", "oneOnOneCalls", "projects", "mockInterviews" ], "readme" : "### About me\nSeasoned data professional with 8+ years experience in business and technology. Highly proficient in architecting, building and testing analytics pipelines at scale. \n### What I expect from mentees\nI'm eager to work with mentees that are interested in elevating their data and analytics engineering capabilities. Those with SQL and Python fundamentals also seeking to hone their understanding of data architecture are ideal candidates.\n\nRelevant disciplines include warehousing, modeling, testing, automating and visualizing.\n\nPreferred languages are SQL and Python.\n\nPopular data tools include dbt and BigQuery and other GCP products. \n\nIn terms of BI/visualization I bring experience with Tableau and Data Studio.\n\nI'm able to provide 2-8 hours per week in the form of code reviews, resume reviews, 1:1 meetings and project ideas.", "isFormerMentee" : false }, { "_id" : "LideZnqPYmbHXYmbX", "linkedInUrl" : "https://www.linkedin.com/in/venkatasaivarada/", "lastName" : "Varada", "firstName" : "Venkatasai", "locationString" : "Seattle, WA, USA", "currentRole" : "Sr. Machine learning Engineer", "domainFeatures" : [ "retail", "research", "software" ], "technicalFeatures" : [ "nlp", "dataScience", "tabular" ], "mentorshipOfferings" : [ "mockInterviews", "oneOnOneCalls" ], "readme" : "### About me\nSr. Machine Learning Engineer at Chewy, Formerly Applied Scientist at Amazon. \nMaster's in Data Science, 6 years experience. \nConducted over 70 interviews \n### What I expect from mentees\nI am looking for mentees that are comfortable with SQL, Python and have some understanding of ML algorithms and willing to commit 1 hr per week in guiding them towards providing resources, telling what projects to work on, resume building and mock interviews, both technical and behavioral", "isFormerMentee" : false }, { "_id" : "6naFnA5XetnrnFQBM", "linkedInUrl" : "https://www.linkedin.com/in/harrisonmamin/", "lastName" : "Mamin", "firstName" : "Harrison", "locationString" : "Oakland, CA, USA", "currentRole" : "Senior Machine Learning Engineer @ Block", "domainFeatures" : [ "finance", "edtech", "software", "dataForGood" ], "gitHubUrl" : "https://github.com/hdmamin", "technicalFeatures" : [ "nlp", "deepLearning", "dataScience", "computerVision", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "projects" ], "readme" : "### About me\n\nMy name is Harrison and I'm a Senior Machine Learning Engineer at Block. Five years ago, I was in a non-technical role making near-minimum wage. I vividly remember how difficult that transition was and how discouraging the job search can be. I want to help you navigate that process more smoothly than I did.\n\n### Specialties\n\nI can guide you through every stage of your job search. Let me help you with:\n\n- Live coding interview prep\n- Machine learning fundamentals\n- Building impressive side projects\n- How to sell yourself to a Hiring Manager\n- Salary negotiation", "isFormerMentee" : false }, { "_id" : "Kn3RZFpviR8rJbyu4", "linkedInUrl" : "https://www.linkedin.com/in/haywardgeorge/", "lastName" : "Hayward", "firstName" : "George", "locationString" : "New York, NY, USA", "currentRole" : "Founder Hayward Data Science; Former Facebook Senior Data Scientist + Google Contractor", "domainFeatures" : [ "socialMedia", "legal", "finance" ], "technicalFeatures" : [ "productionization", "recommenders", "visualization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### 🦒 About me\n\nI know what it’s like to love data, but still be doubted. I know how hard it is to break into the industry. Back in 2019, I myself was a SharpestMinds mentee, except no mentor would accept me. Can you believe it fam? Well look at me now. \"The Lord Always Delivers!\" Fam, data science is about the pursuit of truth. I think it’s far too often limited only to academics, when there is also a human, an ethical, and a business component critical to the job. \n\nI had a [pretty bizarre path](https://towardsdatascience.com/george-hayward-comedian-lawyer-and-data-scientist-86aae7d740b) to data science and because of this there's a certain kind of candidate that I can help in a way that a lot of other data science professionals can't. Namely, with God's help, I taught myself to code, then went into business by myself as [Hayward Data Science](https://ghayward.github.io/), before getting into then-Facebook (on Messenger, focused on battery efficiency, which is like a mix of product and infra). [Here I am on my first day](https://www.instagram.com/p/B4LG0JlH3WF/). I got promoted in a year, got consistently high ratings (never below \"Meets All\" and “Exceeds” or above 3 times in a row) and I did a lot of stuff in the 3 years I was there. One of the things I would do is shadow interviewers and help advocate for candidates. In fact, I even emailed the hiring committee once and got them off the fence on a candidate who got the job as a Data Scientist at Meta! Aside from FB, I've cracked technical interviews at Airbnb, Spotify, Major League Baseball, DoorDash, Noom, Twitter, and HelloFresh, just to name a few, so I have a great idea of what it takes to advance in these processes.\n\n### 🦒 A bit more about me \n\nI’m also a [lawyer](https://www.180broomeisrentstabilized.com/) (admitted to both the California (2018) and New York (2020) Bars fam), a [motivational stand-up](https://www.georgejohnjordanthomasaquinashayward.com/), a fan of [J Dilla](https://youtu.be/gpUwNRtoGvo), and I run [SoundRecipe.io](https://www.soundrecipe.io/), a dope data science project. \n\nIf you want to get a sense of my [message for the People](https://poetsandquants.com/2017/03/03/story-faith-laughs-motivation-stanford-beyond/), check out:\n- \"[The People are in Need of Motivation](https://youtu.be/7ccF10bvT2E)\"\n- \"[Buffalo](https://youtu.be/tPJSe7WTfhI)\" \n- \"[Hold the Line](https://youtu.be/H3NS_Dbe8lQ)\" \n- \"[Talk to Em](https://youtu.be/in2MOJ-Hb8g)\"\n- \"[The Good News](https://youtu.be/PxIHtNJ5Y5A)\" \n\nAlso, you can see my \"[The Lord Always Delivers!\" Python functions here](https://github.com/ghayward/the_Lord_always_delivers_functions/blob/main/the_lord_always_delivers_functions.py) fam. \n\nI also run [Hayward Editing](http://www.haywardediting.com/), which is mainly for words. Here's my [resume](https://ghayward.github.io/assets/files/Hayward,%20George%20-%20Resume.pdf); here're some [references](https://ghayward.github.io/assets/files/Hayward,%20George%20-%20References.pdf) from my days in corporate.\n\n### 🦒 What I can help with\n\nI love candidates who have Githubs, built their own projects without a course, and are hungry to break in. I also love candidates who are Data Analysts, and just need a couple tweaks to get that first Data Scientist job.\n\nI also love candidates who are already in the industry, but are navigating promotion politics, scope battles, or get thrust into ethical dilemmas common in Data Science. You can read about one such dilemma [here](https://nypost.com/2023/01/28/facebook-fires-worker-who-refused-to-do-negative-testing-awsuit/) or [here](https://www.theregister.com/2023/01/30/meta_negative_testing_lawsuit/). \n\nSQL, R, Python, ML, Interviewing, Product Interpretation, Statistics, and communicating your skills to a non-technical business audience. \n\n### 🦒 What I expect from mentees\n\n1.\tGrit and optimism. Someone who gets rejected for a dream job, and then applies to the next job a day later. \n2.\tA love for data science, and a focus, within tech, on data science. That is, you know data science, and not design, and not data engineering, and not software development, and not product management, but data science itself is exactly what you want to do within tech.\n3.\tSelf-starter attitude.\n4.\tSense of humor.\n5.\tIs committed to the work and hard work; will put in the time.\n6.\tAffinity for giraffes.\n7.\tHigh integrity, and [will never lie on a number](https://youtu.be/H3NS_Dbe8lQ?t=1386).\n\n### 🦒 Special thanks\n\nI need to give special thanks to [Zach Solomon](https://www.linkedin.com/in/zachsolomon1/), who was big on attention to detail and ethics, [Mike Rowland](https://www.linkedin.com/in/mike-rowland/) who taught me professional grade SQL ([here](https://www.instagram.com/p/BoImHXpHw0i/), [here](https://www.instagram.com/p/Bp6DOD5HD4P/), and [here](https://www.instagram.com/p/BqeFN9pjim5/) we are straight jammin' at Google fam), [Michael Albada](https://www.linkedin.com/in/albada/), who showed me the path to data science, [Bill Ulammandakh](https://www.linkedin.com/in/bulam/), who helped me along the way, and [Jeremie Harris](https://www.linkedin.com/in/jeremieharris/) and [Edouard Harris](https://www.linkedin.com/in/edouard-harris/), who motivated me. Then once I got to Facebook, need to give that respect to [Lois Smith](https://www.linkedin.com/in/lois-k-smith/), [Ben Balsam](https://www.linkedin.com/in/benjamin-balsam-703a4b3a/), [Jieling Han](https://www.linkedin.com/in/jielinghan/), [Arnald Samthambi](https://www.linkedin.com/in/arnald/), [Byron Hood](https://www.linkedin.com/in/byronthood/), and [Ross Boberg](https://www.linkedin.com/in/rossboberg/), who all helped start [The Fried Chicken Man](https://www.linkedin.com/in/haywardgeorge/) out. Ross also organized a stand-up session at the Book called \"[Attendance is Optional](https://www.instagram.com/p/B_8y3u0HpEK/).\" Thank you fam.\n\n### 🦒 The Lord Always Delivers!", "gitHubUrl" : "https://github.com/ghayward", "websiteUrl" : "https://ghayward.github.io/", "isFormerMentee" : false }, { "_id" : "e7XvephYenvd4Cgt6", "linkedInUrl" : "https://www.linkedin.com/in/jshah11", "lastName" : "Shah", "firstName" : "Jinal", "locationString" : "Seattle, WA, USA", "domainFeatures" : [ "healthcare", "digitalMarketing", "software", "saas", "customerSupport", "eCommerce" ], "technicalFeatures" : [ "dataEngineering", "webDevelopment", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "### About me\n\nMy name is Jinal. I am currently a Senior Data Engineer at Meta.\n\nA bit more about me, I'm currently based out of the Seattle area. I have more than 10 years of experience building great products. In my career, I had the pleasure of working in some of the top companies like Meta, Wework, Microsoft, and Oracle, which has taught me many things.\n\n### What I can help with\n\nI can help with databases, software architecture, career growth, API development, Data Governance, and Data Engineering.\n\n### What I expect from mentees\n\nI'm looking for mentees wanting to get into Data/Software Engineering or grow their careers.", "currentRole" : "Data Engineer at Meta", "isFormerMentee" : false }, { "_id" : "2mhPyJorwBLQLmYr8", "linkedInUrl" : "https://www.linkedin.com/in/nick-singh-tech/", "lastName" : "Singh", "firstName" : "Nick", "locationString" : "San Francisco, CA, USA", "currentRole" : "Author @ Ace the Data Science Interview", "domainFeatures" : [ "edtech", "saas", "socialMedia" ], "technicalFeatures" : [ "dataScience", "analytics", "webDevelopment" ], "websiteUrl" : "https://www.nicksingh.com/", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\n\nMy name is Nick and I am the Best-Selling Author @ [Ace the Data Science Interview](https://www.acethedatascienceinterview.com/)! \n\nI also run [DataLemur](http://datalemur.com/) - a free SQL interview platform! \n\nPreviously, I worked at Facebook & Google.\n\nI've also directly coached hundreds of people to their dream job in data at companies like Amazon, CVS Health, JP Morgan, and Microsoft. \n\nYou can read my testimonials here: https://ace-the-data-science-interview.teachable.com/\n\n### What I can help with\n\nResume reviews, technical interview prep, and job hunting strategy.", "isFormerMentee" : false }, { "_id" : "QyWo7ALTA8EzzoxMp", "linkedInUrl" : "https://www.linkedin.com/in/mahsa-ebrahimian-87653122b", "lastName" : "Ebrahimian", "firstName" : "Mahsa", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data scientist and team lead at xe.com", "domainFeatures" : [ "finance", "telecom", "software" ], "technicalFeatures" : [ "dataScience", "recommenders", "visualization", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "My name is Mahsa and I am a Senior Data scientist and team lead at xe.com. I currently lead a team of junior data scientists, developing a real-time machine learning model for fraud prediction in money transfer industry. I have more than 5 years of experience as data scientist working in \nTelecom, marketing, finance and software industries.\n\nI can help with reviewing your resume, doing mock interview, defining a data science projects and reviewing your code.\n\nI'm looking for mentees that are willing to develop the skill set and build the portfolio to step foot into data science role.", "isFormerMentee" : false }, { "_id" : "EEdi35Rrrob2KQdr6", "linkedInUrl" : "https://www.linkedin.com/in/zekiye-erdem-ca/", "lastName" : "Erdem", "firstName" : "Zekiye", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist", "domainFeatures" : [ "healthcare", "research", "consulting", "robotics" ], "technicalFeatures" : [ "dataScience", "analytics", "visualization", "tabular", "unsupervised", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\n\nMy name is Zekiye Erdem and I am a Senior Data Scientist.\n\nI am a Data Science and Machine Learning professional with Ph.D. bringing proven expertise in start-up environments. Successful leader and manager equipped with skills to handle high-level Data Analysis, Visualization, and Predictive Modeling responsibilities. Skilled at meeting business requirements by performing Data Analytics and Machine Learning tasks. Focused on helping the business achieve short- and long-term goals.\n\n### What I can help with\n\nI can help with how to create a powerful resume and LinkedIn profile to be matched by recruiters, and how to improve your Data Analyst and Data Scientist skills. We can create real-time data science projects to improve your GitHub repository. I can support you on how to do networking and the best way to reach the right people.\n\n### What I expect from mentees\n\nI'm looking for mentees that are coming from different backgrounds and want to make a fresh start on their Data Science career journey.", "isFormerMentee" : false }, { "_id" : "4CopszWwTD6sBrNwo", "linkedInUrl" : "https://www.linkedin.com/in/baueraj/", "lastName" : "Bauer", "firstName" : "Andrew", "locationString" : "Los Angeles, CA, USA", "currentRole" : "Principal Machine Learning Scientist @ Seekr", "domainFeatures" : [ "dataForGood", "finance", "research", "healthcare" ], "gitHubUrl" : "https://github.com/baueraj", "technicalFeatures" : [ "nlp", "dataScience", "deepLearning", "unsupervised", "productionization" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects" ], "readme" : "Hello! I'm a principal machine learning scientist at Seekr using state-of-the-art NLP techniques to fight fake news and dis/misinformation. I have 16 years of experience working with big data, statistics, and AI.\n\nI'm looking forward to using my experience to help you achieve your goals, ranging from learning a new skill set, brainstorming or completing a complicated project, discussing career goals, or preparing for job interviews. I have also gone through the Insight Data Science mentorship; I know first-hand how useful and fun a mentorship can be.\n\nFeel free to reach out!\n\n----------------------\n\nA little bit more about me:\n\nAt Seekr, I develop and productionalize machine learning models to deliver a reliable and transparent news feed and search engine. My background is in scientific research and applied machine learning (Ph.D. in cognitive neuroscience from Carnegie Mellon University, postdoc at the University of Toronto).\n\nI'm also an experienced educator and mentor: I have developed my own undergraduate course in applied data science, and have mentored and managed junior engineers and research scientists in my current role at Seekr, as well as research assistants as a postdoctoral scholar.", "isFormerMentee" : false }, { "_id" : "Yoau7kC3wYSXwx3fT", "linkedInUrl" : "https://www.linkedin.com/in/sima-sharifirad/", "lastName" : "sharifirad", "firstName" : "sima", "locationString" : "Montreal, QC, Canada", "currentRole" : "lead data scientist", "domainFeatures" : [ "research", "retail", "insurance" ], "gitHubUrl" : "https://github.com/simarad1525", "technicalFeatures" : [ "nlp" ], "websiteUrl" : "https://www.simasharifirad.com/", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\n\nMy name is sima and I am a lead data scientist.\n\nA bit more about me :I am a computer scientist,mentor, career coach, freelancer, content creator, MBSR certified, Yogi and meditation advocate. My passion is NLP and generative models. I received my PhD in 2019 from Dalhousie University.\n\n### What I can help with\n\nI can help with your projects, finding jobs as a data science, machine learning researcher and your career development.", "isFormerMentee" : false }, { "_id" : "ddt6dqtJwjyuqFKBe", "linkedInUrl" : "https://www.linkedin.com/in/daniel-c-4aa5151a1/", "lastName" : "chih", "firstName" : "Daniel", "locationString" : "Mississauga, ON, Canada", "currentRole" : "Senior Data Engineer @ NASDAQ", "domainFeatures" : [ "finance" ], "technicalFeatures" : [ "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "isFormerMentee" : false }, { "_id" : "9QxQYopgcQtpcAqTN", "linkedInUrl" : "https://www.linkedin.com/in/josephwickline/", "lastName" : "Wickline", "firstName" : "Joseph", "locationString" : "Dallas, TX, USA", "currentRole" : "Data Engineer at DroneUp, 5 Years of Experience", "domainFeatures" : [ "software", "retail", "insurance" ], "technicalFeatures" : [ "dataEngineering", "visualization", "analytics" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "oneOnOneCalls", "resumeAndLinkedInReview" ], "readme" : "### Hello! 👋🏻\n\n\nI'm Joseph and I work as a Data Engineer. I started my career 5 years ago doing data visualization, and over time moved closer to the \"back-end\" of the stack, which is what I enjoy the most. Away from my desk, I enjoy playing volleyball 🏐 and working on cars 🔧.\n\nAnalytics is a super exciting field, but the fact it is littered with buzzwords and has a constantly evolving set of hundreds (if not thousands) of different tools to learn can make it seem overwhelming and difficult to break into. I speak from experience as I felt the same way not long ago. Navigating any kind of tech career is always easier when you have a mentor to lean on.\n\nWhether you're nearing graduation and seeking an internship, mid-career and looking to make a pivot, I'm happy to guide you every step of the way until you get hired (and perhaps after)! I intend for every session to be completely driven by what YOU want to focus on, whether it's debugging code together or doing a mock interview.\n### **Here's where I can help the most...**\n\nCareer-wise:\n- Building a job-searching strategy that is specific to your ambitions\n- Fine-tuning your resume/CV to be concise and appealing to recruiters\n- Being articulate and confident in interviews, even if you're anxious\n- Negotiating and maximizing salary\n\nTech-wise:\n- SQL\n- Python\n- Data Warehousing\n- Data Visualization", "isFormerMentee" : false }, { "_id" : "mPXGbba756PACyWPk", "linkedInUrl" : "https://www.linkedin.com/in/jun-zhang-michael100824/", "lastName" : "Zhang", "firstName" : "Michael", "locationString" : "Toronto, ON, Canada", "currentRole" : "Data Engineer @ data.ai", "domainFeatures" : [ "software", "retail" ], "technicalFeatures" : [ "dataEngineering", "analytics" ], "websiteUrl" : "http://michael100824.github.io", "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\n\nMy name is Michael, and I am a Data Engineer @ data.ai.\n\nI have 5+ years of retail/ tech Industry experience in data engineering and analytics.\n\nAs a Data Engineer, my focus is on building and maintaining reliable, efficient, and scalable systems for data processing and analysis. I am skilled at designing and implementing data pipelines, and I am comfortable working with large and complex datasets. I am also experienced in working with stakeholders to understand their data needs and develop solutions that meet their requirements. Overall, I am passionate about using data to drive business decisions and help organizations make better, more informed decisions.\n\n- Programming: Python, Java, VBA\n- Data Eng & Database: ETL, Matillion, DBT, Snowflake, Databricks, Airflow, PostgreSQL\n- Big Data & Cloud: AWS (certified SSA), Hadoop, PySpark, HDFS\n- Others: Bash, CI/CD, Jira, Power BI, Looker\n\n### What I can help with\n\nI can help with \n- build technical skills\n- mock interview\n- polish resume\n\n### What I expect from mentees\n\nI'm looking for mentees that who are interested in data analyst/ engineer position.", "isFormerMentee" : false }, { "_id" : "FjcfhfaxPSD4qfnv8", "linkedInUrl" : "https://www.linkedin.com/in/thanh-hong-7b6b72a4/", "lastName" : "Hong", "firstName" : "Thanh", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist @ Magna International", "domainFeatures" : [ "healthcare", "finance", "manufacturing", "insurance" ], "technicalFeatures" : [ "dataScience", "tabular", "visualization", "computerVision", "timeSeries", "unsupervised", "analytics", "anomalyDetection", "nlp", "recommenders", "deepLearning" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\n\nMy name is Thanh and I am a Senior Data Scientist @ Magna International. I am working at the Central Research Center of the company and leveraging AI/Big Data to solve problems coming from different divisions of the company.\n\nI have a PhD degree majoring in computer vision and machine learning.\nI have patents in US and Canada and have published in good venues.\nDuring my PhD and postdoc, I have mentored many undergraduate and master students to accomplish their theses and projects. I have also taught courses in machine learning in which I helped students achieve their learning goals.\n \nFurthermore, I have about 3 years working as a AI/Technical consultant and Senior Data Scientist at my previous company, FPT Canada exploring the application of big data techniques, machine learning and statistical methods in financial, insurance, manufacturing and retail domains. I have interviewed 60+ candidates for different positions in the company such as data analysts, data engineers, data scientists, machine learning engineers. \n\nI look forward to working with you and strongly believe that I can help you land your dream job.\n\n### What I can help with\n\nI can help review and feedback on your resumes, conduct mock interviews, and assign you projects to get familiar with the field or improve your skills. \n\n### What I expect from mentees\n\nI'm looking for mentees that are self-confident and dedicated to learn and improve their knowledge.", "isFormerMentee" : false }, { "_id" : "mPegjHyqwbt7qhBBL", "linkedInUrl" : "https://www.linkedin.com/in/ruochen-sam-chen-918851105/", "lastName" : "Chen", "firstName" : "Sam", "locationString" : "Toronto, ON, Canada", "currentRole" : "Senior Data Scientist @Borrowell, DS/ML/DE/BI", "domainFeatures" : [ "finance", "eCommerce", "sports" ], "technicalFeatures" : [ "dataScience", "visualization", "analytics", "dataEngineering", "unsupervised", "productionization", "recommenders", "tabular" ], "mentorshipOfferings" : [ "mockInterviews", "codeReview", "networking", "oneOnOneCalls", "projects", "resumeAndLinkedInReview" ], "readme" : "### About me\n\nMy name is Sam and I am a Senior Data Scientist @Borrowell, DS/ML/DE/BI.\n\nA bit more about me ... I have been working as a Data Scientist for 5+ years and have been involved in different aspects of Data field at work. I have worked for 4 different companies so far, and I have relatively extensive interview experiences. I also work as a mentor on multiple online learning platforms (e.g. Great Learnings).\n\n### What I can help with\n\nCheck the preferences tab\n\n### What I expect from mentees\n\nI'm looking for mentees that are self-disciplined and motivated by Data related topics.", "isFormerMentee" : false } ]