Lecturer, Senior of Statistical Science
Dr. Sudipta Dasmohapatra is the Director of the Masters in Statistical Science in the Department of Statistical Science at Duke University. Dr. Dasmohapatra is also an Adjunct Associate Professor at Fuqua School of Business at Duke University where she teaches Digital Marketing. She joined the board of SAMSI (Statistical and Mathematical Sciences Institute), an NSF funded Math and Statistics Institute, in July 2018 as the Associate Director of Diversity. Dr. Dasmohapatra has done extensive work with the industry, and is serving as Vice President Analytics for a start-up firm, Vertaeon, Inc., since 2016.
She joined Duke in September 2017 prior to which she was an Associate Professor in Marketing Analytics at the Institute for Advanced Analytics at NC State University. She joined the nation's first Masters in Advanced Analytics program at NC State in 2008 and has been instrumental in the development of the Marketing and Customer Analytics curriculum. She has over 10 years experience consulting in analytics and data science and currently serves in the advisory boards of two strategic analytics start-up firms- "Vertaeon, Inc." based in Atlanta and "Kloutics, Inc." based in Pune, India. She has worked with numerous industry partners, government and non-profit organizations on a variety of business analytics projects. She has advised over 300 graduate students and presented at many international and national conferences. Dr. Dasmohapatra's interests span all areas in customer and marketing analytics specifically on quantitative data analysis: data management (cleaning, missing values, dimension reduction), unsupervised modeling (clustering for segmentation and positioning, PCA, PCR, etc.), predictive modeling (linear and non-linear models), design of experiments (for direct marketing, A/B and multivariable testing), web and digital analytics (campaign analytics, recommendation systems, etc.). Dr. Dasmohapatra is also trained in qualitative analysis (including multiattribute qualitative modeling, surveys and focus groups and in-depth interview techniques).