Hey there! I'm Shay. I live, code and consult on data science in Tel Aviv, Israel. Among my current and past clients are such companies as Voyantis, BigPanda, Forter, Intezer, Bringg, Bank Hapoalim and quite a few others. I also serve as VP Data Science @ LeO, and I've headed the data science outfit at a couple of startups before striking out on my own. 🙂
I have co-founded and manage DataHack, a non-profit / community / yearly hackathon dedicated to promoting data science and machine learning in Israel, which also runs projects such as DataTalks, DataNights and Kaggle-IL. I have also founded NLPH, a community meant to encourage and enable joint work on open NLP tools for Hebrew.
| Project | Description | Stars | Downloads | Forks | Issues | PRs |
| pdpipe | Easy pipelines for 🐼 DataFrames |  |
 |
 |
 |
|
| pulearn | Positive-unlabeled learning w/ 🐍 |  |
 |
 |
 |
|
| skift | sklearn wrappers for 🐍 fastText |  |
 |
 |
 |
|
| cachier | Persistent memoization 🐍 decorators |  |
 |
 |
 |
|
| birch | Hierarchical config for 🐍 packages |  |
 |
 |
 |
|
| awesome-twitter-data | Twitter datasets & resources |  |
 |
 |
 |
- 🗄 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.