About Me

I am a student of Technology, AI and Marketing at Carnegie Mellon University. Prior to joining CMU in 2016, I completed my undergraduate in Electrical Engineering from IIT Delhi in 2011. Subsequently, I spent 5 years working as a quantitative strategist for Goldman Sachs.


I am interested in problems at the cross section of Technology and Marketing. I am intrigued by ways in which technology disturbs markets, economies and society. I am currently working on two streams of research – (i) application of deep learning methods in marketing and (ii) consumer finance implications of peer to peer markets. I have used a variety of research methods including Reduced Form Econometrics, Structural Modeling, Game Theory and Deep Learning. 


On the first stream of research, I am studying impact and sources of appearance bias in workplace. I do so by connecting marketing theories on beliefs, preferences and perceptions from appearances. And testing these on processed and morphed unstructured image and text data using state of the art generative deep learning models. On the second stream, I am studying equilibrium interaction of participants on peer-to-peer fundraising (ICO) and payment (Bitcoin) platforms. I use game theory and structural models to highlight security and information asymmetry issues and develop optimal policies for these nascent technologies. I also teach an undergraduate business administration course on FinTech.


Research under review



Research In Progress



Professional Email Address

Personal Email Address

Carnegie Mellon BT Research Group

Tepper Blockchain Initiative

Github Code Repository

SSRN

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