Tarun Garg
Senior Data Scientist @ Zomato | ML & Growth | Ex- Ecom Express, Cars24, AIISC, Walmart Labs, 99 Roomz | BITS Pilani ’21
- Role
- Senior Data Scientist at Zomato
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Tarun Garg
Currently working as Senior Data Scientist at Zomato, building ML systems that power growth, maps, and logistics at scale.I love turning messy, real-world problems into production systems that actually move the needle. Right now, I\'m working on some exciting challenges—from using geospatial analytics to estimate delivery distances and cut API costs, to building predictive models that help us spend marketing budgets smarter (70% reduction while hitting targets). I\'ve also worked on improving how millions of users select addresses on our maps, boosting conversions by 14%.Before Zomato, I spent 3 years at Cars24 building fraud detection models that saved crores in losses, optimizing auction systems, and helping clear stuck inventory through better pricing. I also worked on delivery optimization at Ecom Express and did some NLP research work at AIISC that got published at CAI.I work primarily with Python, SQL, and the usual ML stack—XGBoost, neural networks, optimization algorithms—and deploy everything on AWS/GCP with Docker and Kubernetes.BITS Pilani alum (Economics + Electrical Engineering). Always happy to connect with folks working on interesting problems in ML, growth and all things data!
Experience
Senior Data Scientist
Feb 2025 — Present · Gurugram, IN
Enhanced map-based address selection by extracting house numbers and POI towers from pan-India addresses using advanced regex and validation guardrails, improving user conversion from 68% to 82%• Built geospatial distance estimation model using historic delivery data and S2 cells, achieving 80% accuracy within 200m and 95% within 500m, significantly reducing Google Maps API costs• Developed predictive Lifetime Value (pLTV) model to forecast new user value from first-order behavior, enabling targeted Meta/Google campaigns with differentiated bidding that reduced marketing spend by 70%(₹2.3L/month)• Designed linear programming-based slot allocation system to optimize rider delivery schedules by balancing earning potential, preferences, and system targets, reducing peak-hour delays by 1.5 minutes
Education
Birla Institute of Technology and Science, Pilani
Bachelor of Engineering - BE, Electrical and Electronics Engineering
2016 — 2021
Birla Institute of Technology and Science, Pilani
Master of Science , Economics
2016 — 2021
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