I am a PhD candidate in Quantitative Marketing at Fuqua School of Business, Duke University. My dissertation paper considers monetization of sponsored advertising in online retail by optimizing the quality score algorithm to maximize marketplace profits from position auctions. Using data from an online retailer, I show that quality score enhancements improve marketplace profits by 21% over status-quo, while also improving advertiser welfare.
Another stream of research theoretically investigates optimal firm response in the market for sustainable products, finding counter-intuitive insights regarding prices, profits and consumer surplus. A follow-up work considers regulation of sustainable products.
I employ methods from empirical IO, analytical models, operations, and statistics to address problems of interest. My research has been published at Marketing Science and the Proceedings of Machine Learning Research.
PhD in Quantitative Marketing, 2026 (Expected)
Fuqua School of Business, Duke University
MS in Operations Research, 2020
IEOR Department, Columbia University
B.Tech in Electrical Engineering, 2016
Indian Institute of Technology, Kanpur
Sustainable Consumption: A Strategic Analysis, with Wilfred Amaldoss, Forthcoming in Marketing Science, 2025.
Robust Importance Weighting for Covariate Shift, with Henry Lam & Fengpei Li, Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:352-362, 2020.
Regulating Sustainable Products: A Public Policy Perspective
-with Wilfred Amaldoss.