I am a faculty member in the Operations and Decision Sciences Area at IIM Ahmedabad. My research and teaching are aligned with the theory and applications of Data Science. I obtained my Bachelor of Statistics (Honours) and Master of Statistics degrees from the Indian Statistical Institute Kolkata, after which I worked in the industry for eight years. My industry experience has been in Re-insurance and Commercial Finance, leading various analytical initiatives for risk management, capital allocation and pricing. After my stint in the industry, I decided to switch to a career in academics. I obtained a doctoral degree from IIM Bangalore and subsequently joined IIM Ahmedabad as a faculty member.
My research interests include interdisciplinary problems that require novel statistical solutions, especially those that could benefit from the use of Bayesian statistical formulations to incorporate expert inputs beyond observed historical data. My current interests are in Bayesian Methods, Spatial Modeling, Change Point Detection, Circular Statistics, Quantile Regression and Model Misspecification. Although I am interested in the applications of Data Science to various domains, my current focus is on problems in Crime Management and problems in Insurance. Motivated by practical problems, I also explore relevant theoretical questions that guide the appropriate use of statistical methods in practice and have made some contributions to the area of Bayesian statistical inference with Misspecified models and Quantile Regression. At IIMA, I teach courses related to Data Science tailored to the MBA students, PhD students and for participants in some of the Executive Education Programmes.
Primary Area : Operations and Decision Sciences
Fellow (PhD), Indian Institute of Management Bangalore , 2009-2013
Masters in Statistics, Indian Statistical Institute , 1999-2001
Bachelors in Statistics (Honors), Indian Statistical Institute , 1996-1999
Probability and Statistics
Statistical Methods for Data Analysis (Sampling and Multivariate Techniques)
Bayesian Methods for Data Analysis
R Work shop
Some Teaching Material
Data Science: Bayesian Statistics and Applications, Spatial Modeling, Change point detection, Quantile Regression.
Domains: Crime Management, Insurance, Bio-informatics
Associate Professor, IIMA, Oct 2016 till date
Assistant Professor, IIMA, Jan 2013-Sep 2016
Vice President-Portfolio Risk Modeling, GE Commercial Finance, CT, USA , 2005-2009
Sr. Risk Specialist, GE Insurance Solutions, KS, USA , 2003-2005
Business Analyst, GE Capital International Services, Bangalore, India, 2001-2003