Previously, I was a Lead Data Scientist at Rapido, India's largest bike taxi platform, where I leveraged my data science skills to solve complex business problems and create value for customers and drivers. I had been with Rapido for over three years, leading multiple projects related to demand-supply-pricing optimization, geo-temporal analysis, forecasting, and anomaly detection.Some of my notable achievements include modeling the rain signal on customer and driver behavior, developing pricing strategies to balance order fulfillment and profitability, designing monetary and non-monetary products to improve driver placement and utilization, and building data apps for backtesting, simulation, and data collection. I am passionate about applying machine learning and data analytics to real-world scenarios and making an impact.
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Senior Data ScientistMindshift Analytics Feb 2024 - PresentBengaluru, Karnataka, India -
Lead Data ScientistRapido Dec 2019 - Jul 2023Bengaluru, Karnataka, IndiaRain signal modeled on customer & driver behavior. Pricing strategies to balance order fulfillment and profitability in ride hailing marketplaces. Monetary & non-monetary products to improve driver placement and utilization. Quantify realtime and historic geo-temporal mismatch between demand and supply. Model price elasticity of demand and supply. Forecast macro trends for multiple cities. Understand driver preferences with respect to location. Optimize order fulfillment in super high demand areas. Automate monitoring and alerting for anomalies in demand, supply and price. Data apps for backtesting, simulation and data collection. -
Data ScientistYulu Nov 2018 - Oct 2019Bengaluru Area, IndiaIn ride sharing ebike fleets reduce unavailability due to low-battery by predicting how many bikes, where, when and in what priority needed to be swapped with a charged battery. ML pipelines to optimize rebalancing of bikes by trucks considering historical & real-time demand from users and supply by operations. -
Software EngineerMapbox Mar 2016 - Aug 2018Bengaluru Area, IndiaCo-built RoboSat, an open-source ML library for feature extraction from satellite imagery. Used aerial imagery to detect 100k parking lots which were unmapped on OpenStreetMap (OSM). Used street-level imagery to detect 10k turn restrictions which were added to OSM. Used anonymous GPS telemetry data to detect unmapped roads and align existing roads in 100+ cities around the world. Co-built suite of intelligent detectors for detecting vandalism and suspicious changes on OpenStreetMap. -
Software EngineerNextdrop Apr 2013 - Jan 2016Bengaluru Area, IndiaBackend APIs to broadcast drinking water supply alerts to 30K users in 4 indian cities via SMS. ValveKey, an Android app to capture valve operations (rotations) in real-time from 100+ valvemen. Project was sponsored by Unilever and was showcased at World Mobile Congress, Barcelona. Water supply analytics with actual, scheduled and predictive components. Apps to share actionable reports with engineers alerting water supply delays and operational inefficiencies. -
Technical AssociateUnisys Mar 2011 - Oct 2011Contributed to building internal tools to forecast and manage project pricing.
Bhargav Kowshik Skills
Frequently Asked Questions about Bhargav Kowshik
What company does Bhargav Kowshik work for?
Bhargav Kowshik works for Mindshift Analytics
What is Bhargav Kowshik's role at the current company?
Bhargav Kowshik's current role is Senior Data Scientist.
What are some of Bhargav Kowshik's interests?
Bhargav Kowshik has interest in Science And Technology, Environment, Education.
What skills is Bhargav Kowshik known for?
Bhargav Kowshik has skills like Python, Javascript, Social Impact, Database Design, Devops, Machine Learning, Data Science.
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