A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater.
Pramit Choudhary is a Lead Data Scientist at DataScience.com, Los Angles, CA. His focus is on effective ways of optimizing and applying Frequentist (Machine Learning) and Bayesian design strategy to solve real-world problems. At DataScience.com, he is leading initiatives on figuring out ways to reduce the chaos in building effective models, model evaluation, and closing the gap between a prototype and a deployed model in production. Previously, he has worked at startups and companies solving problems involving predictive analysis to improve productivity in the oil and gas Industry, social media analysis, recommendation engines, match-making and fraud detection. In general, he is a curious body eager to solve a challenging problem.