Siddharth Prusty

Siddharth Prusty

PhD Student, Fuqua School of Business, Duke University

Biography

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.

Interests
  • Retail Media
  • Sustainability
  • Empirical IO
  • Analytical Modeling
  • Marketing-Operations interface
Education

  • 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

Publications

  1. 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.

Working Papers

Works in Progress

Teaching Experience

 
 
 
 
 
Instructor, Statistical Programming
Python Summer Bootcamp
Aug 14, 2023 – Aug 18, 2023 Fuqua School of Business, Duke University
 
 
 
 
 
Teaching Assistant (Duke University)
Value Creation in Martech (2021/2023 for Carl Mela), Programming Analytics (2023 for Allison Chaney), Strategic Brand Management (2022/2023 for Tong Guo), Marketing Core (2022 for Srinivas Tunuguntla)
Sep 1, 2021 – May 30, 2026 Fuqua School of Business, Duke University
 
 
 
 
 
Teaching Assistant (Columbia University)
Stochastic Models & Applications (2020 for Ton Dieker), Introduction to Financial Engineering (2019/2020 for David Yao)
Sep 1, 2019 – Dec 15, 2020 IEOR Department, Columbia University

Contact