Summary
Mayur Hampiholi is a Senior Engineering Manager in Data Science with a decade of experience delivering revenue-impacting ML systems for travel platforms. He has led teams to design and productionize contextual multi-armed bandits for insurance recommendation, ad ranking and pricing, combining forecasting, reinforcement learning and robust MLOps (Databricks, MLflow) to drive measurable gains like improved ad revenue and CTR. His hands-on background spans dynamic pricing that generated multimillion-dollar revenue, demand forecasting, and end-to-end data quality initiatives that dramatically sped up feature engineering cycles. Comfortable bridging product, engineering and analytics, he builds platforms for experiment creation and off-policy evaluation as well as consumer-facing recommendation systems. Mayur’s academic mix of CS, Data Science and Mathematics underpins a pragmatic approach to complex modeling and evaluation. He is particularly adept at turning research-grade RL/forecasting techniques into scalable, audited production workflows that stakeholders can trust.
10 years of coding experience
10 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Kendriya Vidyalaya Sangathan
Hindi, English, French