Research 

I am a Machine learning and Statistical learning researcher with an immense crossover into Finance. My research has a strong interdisciplinary focus and aim to explore how technology, digital intelligence, algorithm, and social science can transform corporates, policy and humanity. My research interest utilizing the above core strength span several topics, including (a) Machine learning & Big data; (b) Fintech & Cryptocurrency; (c) Household Finance; (d) Finance & Development; and (e) Sustainability & ESG. I use a data based approach and exploit policy shocks in emerging markets like India, to study the above mentioned topics and its impact on consumer behaviour. The research has implications for business, government agencies and  scal and monetary authorities in India. I work closely with them to use the results of my research towards practical implications. 


Few Selected Working Papers

(with S. Agarwal, M. Desai, N. Vats)


(N. Crouzet, A. Gupta, F. Mezzanotti)


     Financial Access? [new version: 2022: pdf]

    (with Sumit Agarwal, Shahswat Alok, Soumya Kanti Ghosh , Tomasz Piskorski and Amit  Seru)



   (with Nishant Vats)


(with Alberto Rossi and Francesco D'Acunto)



(with S. Agarwal, A. Shashwat, X. Zhang)




(with R. Fishman, J. Zhang, A. Sarkar)


(with Sumit Agarwal, Abhiroop Mukherjee, Lakshmi Narayana)


Under Submission


Journal of Financial Economics (Reject and Resubmit)


Journal of Financial and Quantitative Analysis (Revise and Resubmit)


Review of Economic Studies (Reject and Resubmit)


Review of Financial Studies ((Revision Invited)


The Review of Economics and Statistics (Revision Invited)


Management Science (Revision Invited) 


Accepted/Published [ in last 5 years]



Energy Economics (Accepted)






Journal of Money, Credit and Banking (Accepted)


(Accepted)