معرفی
Sharmistha Sikdar is an Assistant Professor of Marketing at the Tuck School of Business, Dartmouth College, with a PhD in Marketing from Cornell University (2019). She bridges academia and industry expertise, having spent over eight years in analytics/data science roles at General Electric, Citibank, and Infosys Ltd, focusing on banking and customer analytics. Her research develops statistical and machine learning tools to address empirical marketing challenges, particularly in e-commerce pricing, multichannel customer engagement, and predictive analytics.
- Education: PhD in Marketing (Cornell University, 2019), MSc in Quantitative Economics (Indian Statistical Institute, 2002), BSc in Economics (Calcutta University, 2000)
Her research spans Bayesian methods, Markov models, and predictive modeling, with studies on Amazon’s pricing dynamics, novice artwork valuation, and customer engagement algorithms. While no explicit awards are listed, her work has been cited in media outlets like The New York Times and Hindustan Times, emphasizing ethical pricing and retail strategies. She teaches courses including Thayer MEM Marketing Core and Marketing Research and Analytics for Data-driven Growth, integrating hands-on training with tools like R and Sawtooth Software.
