Sharmistha Sikdar’s research focuses on developing and applying statistical models and machine learning methods to examine empirical questions related to firm and customer behavior. Her work examines topics such as pricing and marketplace policies on e-commerce platforms, multichannel customer journeys, and the welfare implications of platform and government regulations. Her research has been published in the Journal of Marketing and the Journal of Data Science.

Sharmistha holds a PhD in Marketing from Cornell University, a Master’s degree in Quantitative Economics from the Indian Statistical Institute, Calcutta, and a Bachelor’s degree in Economics (Honors) from the University of Calcutta. Prior to academia, she spent over eight years in the analytics and data science industry, specializing in banking and customer analytics, and worked with analytics centers at General Electric, Citibank, and Infosys Ltd. She is also a co-inventor of a patented customer analytics solution for enterprises.