PhD, Cornell University, 2019; MS, Indian Statistical Institute, Kolkata, 2002; BS, Scottish Church College, Calcutta University, 2000
Marketing, Statistical Modeling, Statistical Machine Learning, Predictive Analytics
Sharmistha Sikdar’s research interests lie in the development and application of statistical models and machine learning tools to examine empirical problems in marketing. Some of the applications of her research methods include predicting customers’ multichannel engagement and purchase behavior, and competitive price dynamics on e-commerce platforms. Prior to joining academia, Sharmistha spent more than eight years in the analytics/data science industry specializing in banking and customer analytics. She has worked for the analytics centers for companies such as General Electric, Citibank, and Infosys ltd. She is also a co-inventor of a patented customer analytics solution for enterprises. She holds a Bachelors’ degree in economics with honors from Calcutta University and a Master’s degree in quantitative economics from Indian Statistical Institute, Calcutta.