About

Sumit Gupta is an accomplished data scientist and AI leader with over 13 years of experience in multiple domains, including E-commerce, Credit/Lending, FoodTech, and ServiceTech. He is an alumnus of the prestigious Indian Institute of Technology, Delhi, where he completed his Integrated M.Tech in Mathematics and Computing in 2010. Throughout his career, Sumit has set up, hired, managed, and mentored data science and AI teams across multiple companies, including Urban Company, Flipkart, and Swiggy. He has created multi-million dollar impacts through various initiatives that have impacted both the top line and bottom line of these companies. He has collaborated and coordinated with product, business, and engineering teams on various DS and AI projects across companies. Currently, Sumit is the Head of Data Science and AI at Urban Company, where he leads the development of various vision models, matchmaking models, credit risk models, forecasting models, personalization models, and address matching models. He is responsible for ensuring the safety of customers and partners by detecting masks for all UC pros through the Mask Detector model. He also predicts the acceptance of services by pros and the credit-worthiness of pros through the Matchmaking and Credit Risk models, respectively. Additionally, Sumit forecasts category level revenue and optimizes customer experience through recommendation systems using the Forecasting and Personalization models. Before joining Urban Company, Sumit worked as a Senior Data Scientist at Flipkart, where he developed various customer experience models, pricing models, product quality scoring models, selection models, and lapsers survey models. He also won the CEO's Award for Customer Excellence in 2017 for his work on Selection Modelling. Sumit has also worked as a Senior Data Scientist at Swiggy, where he developed a recommendation engine for customers based on their order history, a COD Abuse Model to check Cash On Delivery Abuse, and a cross-selling model using Association Rule Mining. He also worked on personalization of restaurant listings, budget-based discovery, restaurant prep time prediction, and demand shaping. Sumit has consulted multiple new startups on various AI problem spaces and how to scale their AI programs. He is proficient in AI, Data Science, Research Science, XGBoost, Recommendation Systems, ML, Random Forest, Search, Neural Networks, SVM, dotNET, ASP.NET, and Software Engineering. Sumit's relevant experience is 11.72 years.