Summary
Ravi Kolla is a research scientist with nine years of data science experience, blending deep theoretical rigor from a PhD in reinforcement learning with practical product impact at Sony Research India and Anheuser‑Busch InBev. He builds recommendation and assortment-optimization systems using econometric choice models, machine learning, and mathematical optimization to drive store-level revenue and market share. Ravi also designs and implements statistically robust experimentation and causal inference pipelines—covering RCTs, natural experiments, DID, matching, and multi-armed bandits—to measure heterogeneous treatment effects and uplift. His background in bandit problems gives him a rare edge in applying online learning to personalization and ad-placement in both centralized and distributed settings. Colleagues rely on him to translate complex math into production-ready algorithms that answer real business questions.
9 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Madras
Master of Technology - MTech, Signal Procesing, Master of Technology - MTech, Signal Procesing at National Institute of Technology Calicut
Bachelor's degree, Electronics and Communications Engineering, Bachelor's degree, Electronics and Communications Engineering at Sri Venkateswara University