I am a Data Scientist at the Adobe Research Labs, India. My research focuses on predictive analytics and statistical modelling with applications to digital marketing. I finished my Ph.D. at Case Western Reserve University. My dissertation focused on a novel algorithm to estimate haplotype frequencies in genetic data. I did my M.Stat at Indian Statistical Institute.
I have served as a governing council member of Indian Association for Statistics in Clinical Trials from 2012-2014. Detailed list of my publications is found here.
Balaji Vasan Srinivasan, Anandhavelu Natarajan, Ritwik Sinha, Moumita Sinha(Mar 18, 2015)
ACM iKDD Conference on Data Science
Moumita Sinha, Rishiraj Saha Roy(Oct 6, 2014)
Identification of relevant product attributes is critical to the success of any marketing campaign. This task can be conceptualized as an attribute recommendation problem based on the product’s content or features, where the goal of a solution would be to automatically recommend relevant features to the marketer for highlighting in a campaign. In this research, we try to solve this problem by using preference mapping, a powerful technique for associating feature preferences with users. We perform preference mapping with sentiment scores associated with product attributes mined from user reviews on theWeb. As a result of this process, we are able to visualize a set of compared products and the appropriateness of the attributes on the same two-dimensional space, enabling us to easily recommend important features to a marketer. Finally, we show that expert recommendations or ratings for product features do not necessarily correlate with preference maps based on user sentiments.
Workshop on New Trends in Content-based Recommender Systems 2014 (CBRecSys '14)