A little about me.
Community Projects: I have co-founded, with Inbar Naor, and manage (as CEO and chairman) DataHack, a non-profit / community / yearly hackathon dedicated to promoting data science and machine learning in Israel, and also runs projects such as DataTalks, DataNights and Kaggle-IL. I have recently built and ran the first cohort of my DataNights Program for Data Science Team Leads. I have also founded NLPH, a community meant to encourage and enable joint work on open NLP tools for Hebrew. See more at my community page.
Work: I’ve been working as a strategic data science consultant in my own firm for the past several years, helping startups build and grow their data science operations, while covering all aspects of the trade, from technical and theoretical to the methodological (contact me by email for consulting). Until recently I’ve also served as VP Data Science at LeO, an insurtech startup. Before that I have led data science work at Neura and then at ZenCity. Earlier, I worked as a developer at Intel and Ravello (now Oracle Cloud).
Blog posts & Talks: I often talk and write about my work, research interests and community activity. See more on my talks page and my blog page.
Teaching & Education: I am teaching Data Visualization at the Coller School of Management at Tel Aviv University, where I’ve recently completed an MBA (Dean’s List), and a course on managing data science teams as part of our DataNights program. I’ve have also completed my studies for a BSc (in computer science and philosopy) and an MSc in computer science at The Hebrew University of Jerusalem (though I have never submitted my thesis), where I’ve also organized the AI seminar. My research interests during that time included machine learning, NLP, dynamic network processes, block chain systems and other areas in both data science and game theory. See more on my teaching page.
Open source code: On my spare time I have been creating some small open source tools. See more at my code page (I also write about my open source projects, occasionally).