Hey there! I'm Shay. I live, teach and consult on AI & data science in Tel Aviv, Israel. I've consulted to such companies as Pic-Time, Nimble, mint: Marketing Innovation Technology, Harmonya, Voyantis, BigPanda, Forter, Intezer, Bringg, Bank Hapoalim and quite a few others. Besides consulting, I've also lead the data science at startups LeO, ZenCity and Neura.
I have co-founded and manage DataHack, a non-profit dedicated to promoting diversity in data science and AI in Israel and its use for social good, which runs projects such as DataCoach, DataNights, DataTalks and DataConnect-IL.
I also teach various AI & Data Science at Tel Aviv University's Business School and at The Academic College of Tel Aviv-Yaffo.
| Project | Description | Stars | Downloads | Forks | Issues | PRs |
| cachier | Persistent memoization 🐍 decorators |  |
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| pdpipe | Easy pipelines for 🐼 DataFrames |  |
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| pulearn | Positive-unlabeled learning w/ 🐍 |  |
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| skift | sklearn wrappers for 🐍 fastText |  |
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| birch | Hierarchical config for 🐍 packages |  |
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| awesome-twitter-data | Twitter datasets & resources |  |
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- 🗄 Data Science Project Flow for Startups
A data scientist’s take on our process. - 🔍 Peer Reviewing Data Science Projects
Making your work more error-proof using peer scrutiny. - 📚 Document Embedding Techniques
A review of notable literature on the topic. - 🔜 Inferring causality in time series data
A concise review of the major approaches. - 🧠 Understanding the scaling of L² regularization in the context of neural networks
A theoretical delve into the L² equation. - 📉 Stationarity in time series analysis
A review of the concept and types of stationarity. - 📈 Detecting stationarity in time series data
A theoretical and practical guide. - 🧪 Extensive Python testing on Travis CI
Testing open-source Python on several operating systems. - 📦 Publishing your own Python package
A practical guide to packaging Python code.
