Lecturer, Senior of Statistical Science
Dr. Sudipta Dasmohapatra’s research focus is on the application of data science and statistical models in marketing applied to retail and environmental products.
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).