Hanan Shteingart
Hanan is a data scientist at Vianai Systems where he develops methods to optimize business outcomes by using ML (causal inference, bandits, and RL). He is alumni of successful startups such as BioCatch.com and Gong.io where he showed proof of concept and built the data science teams from scratch.
He is also an alumnus of cooperates such as Microsoft where he was a senior data scientist. During his army service, Hanan was a signal processing and digital communication team leader (IDF).
Hanan holds a Ph.D. in computation neuroscience (Hebrew University) specialized in computational modeling of behavior and neural activity. He holds also a B.Sc. [cum laude] in Physics, B.Sc. [summa cum laude] and M.Sc. [cum laude] in Electrical Engineering (Tel Aviv University)
Talks
Causality in Python
Most data scientists are focused on predictive (aka supervised) projects, yet the real growth is usually in the estimation of action effects and optimizations of action policies. To this end, I will present causal inference and related packages.