Experienced in statistical modeling and machine learning. Currently working on using statistics for improving product quality, validating A/B tests, and deriving product hypotheses. Previously worked on personalization, developing machine learning models for search and ranking and design of metrics to evaluate models. Also worked on recommendation systems, designing ranking models for multi-view data. Graduate thesis work involved high-dimensional regression methods for learning interactions between large number of entities in presence of limited training data, with applications in web, finance and climate science.