Bhargav Kowshik is a Senior Data Scientist based in Bengaluru with over a decade of experience designing and deploying real-time ML systems for mobility, geospatial, and sensor-driven products. He has led pricing, demand-supply optimization, and driver monetization models at Rapido, built predictive rebalancing pipelines for e-bike fleets at Yulu, and currently drives data-forward solutions at Mindshift Analytics. Earlier work at Mapbox combined software engineering and remote-sensing ML to extract large-scale map features and improve OSM quality, demonstrating a rare blend of production ML, geospatial signal processing, and backend engineering. He’s pragmatic about real-time operational constraints—automating monitoring, backtesting and alerting—and has repeatedly translated messy telemetry into decision-ready analytics for city-scale systems.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at RNS Institute of Technology - India
CISCE, New Delhi, CISCE, New Delhi at APS Public School, Bangalore
Contributions:14 PRs, 18 pushes, 15 branches in 3 months
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