Bio: I graduated from Carnegie Mellon University with a MS in Industrial Administration in 2018 and a PhD in Business Technologies in 2020. I worked closely with the Marketing Department at Tepper School of Business. My research focuses on impact of Technology on Pricing and Markets.
Prior to joining CMU, I completed my undergraduate in Electrical Engineering from Indian Institute of Technology (IIT), Delhi between 2007-2011. Thereafter, I spent five years from 2011 to 2016 as a Data Strategist for Goldman Sachs.
Dissertation: Applications and Economics of ML and Blockchain Technologies
Committee: Kannan Srinivasan, Param Vir Singh (co-chairs), Nitin Mehta, Bryan Routledge.
Deep Learning in Computer Vision: Methods, Interpretation, Causation and Fairness
Can Banks survive the next financial crisis?: A Generative Adversarial Network for Bank Stress Testing.
Role of naïve consumers in Initial Coin Offerings (ICO)
Bayesian Finger: A Variational Bayes EM method for customer feedback attribution in Web Scale Data Analytics Stack
Awards and Fellowships
Dipankar and Sharmila Chakravarti Doctoral Fellowship Award 2020.
AMA-Sheth Foundation Doctoral Consortium Fellow, 2020.
PNC Presidential Fellowship, 2019-20.
Henry J. Gailliot Presidential Fellowship, CMU 2019-20.
Ripple Foundation Fellow, 2019-20.
ISMS Doctoral Consortium Fellow, 2019.
Litzenberger Family Fund Award, CMU, 2018-19.
Best Conference Paper nomination, CIST INFORMS 2018.
Best Student Paper, CIST INFORMS 2017.
William Larimer Mellon Fellowship, CMU 2016.
Best Electrical Engineering Undergraduate Thesis, IIT Delhi 2011.