Pulak Ghosh

Biography

PhD, Statistics, Oakland University, Michigan, USA BSc and MSc, Statistics, University of Calcutta, India He teaches some of the following courses: Quantitative Methods, Marketing Analytics, Big Data, Bayesian Modeling, Nonparametrics Bayes, Statistics 3, Bayesian Network, Predictive Analytics Distinguished Alumni Award- Oakland University, MI, USA — April 2016 Prof. P. C. Mahalanobis Medal for outstanding contribution to Econometrics — January 2016 Given by Indian Econometric Society Professor C.R. Rao National Award in Statistics — 2015, for outstanding contribution in the field of Statistics. Given by the Ministry of Planning & Programme Implementation, Government of India. Named among the Top 10 Most influential Analytics Leaders in India (Only Academician in the list), by Analytics India Magazine — 2015 Chair of Panel Discussion on “Future Trends of Analytics in India", 4th Business Analytics Conference, IIMA —April 2015 Panel Discussant on Optimizing Financial Services Delivery in India, Geo-Spatial Analysis in the Inclusive Finance India Summit, New Delhi — December 9, 2014 Invited as a Keynote Speaker, Talk on Big Data, Bayesian and Consumer Conference on “Recent Advances in Statistics", University of Pune, India — January 2, 2015 Best Paper Award, 2013, 7th China Summer Workshop on Information Management (CSWIM) for the paper, "Do Household TV Viewing Patterns Demonstrate Efficiency and Concentration?" Awarded Young Scientist Award, 2011 by International Indian Statistical Association for outstanding contribution in the Statistical Applications. The award recognizes outstanding contribution and innovative work on applied statistics area by someone under the age of 45 years.

Research Interest

Professor Ghosh’s research interest areas are: Big data & Machine Learning Big data, Bayesian Artificial Intelligence, Machine Learning, Deep Learning, Bayesian Optimization, Health Analytics and Models for Big Data. Economics, Finance & Banking Economics under Big Data, Advanced Econometrics, Macroeconometrics, Financial Inclusion, Household Finance, Health Economics, Banking and Finance Analytics. Statistics High-Dimensional Regression, Sparse Model, Bayesian Modeling, Nonparametric Bayes,Scalable Hierarchical Bayesian Models, Bayesian Network, Copula, Survival analysis, Statistical Model for unique data structures and Joint Modeling. Policy Research Quantitaive methods and application to various policy data in India. Application of big data for Policy