Pramit Choudhary is a Lead Data Scientist at Data Science.com. His focus is on effective ways of optimizing and applying classical (Machine Learning) and Bayesian design strategy to solve real-world problems. Currently, he is leading initiatives on figuring out better ways to explain model’s learned decision policies to reduce the chaos in building effective models to close the gap between a prototype and operationalized model. I am also a member of AAAI and organizer of PyData So Cal meet-up group.