Results-driven analytics professional with extensive experience in providing clear analytical vision and strategic consultation to senior management and functional teams. Broad experience in the cutting-edge machine learning and artificial intelligence tools, with hands-on experience with Python, SAS and cognitive computing. Currently, leading several consulting projects applying machine learning techniques to solve business problems in finance, insurance, and marketing. Skilled presenter of data and modeling results for delivering fact-driven insights to the business to build organizational level consensus driving strategic decision making at the highest levels. Active participant winning several top leaderboard positions on the Kaggle & CrowdAnalytix crowdsourcing platforms. Fluent in English, Hindi and Bengali. AREAS OF EXPERTISE • Machine Learning, Artificial Intelligence and Deep Learning • Natural Language Processing • Econometrics and time series modeling • Bayesian statistics, Experimental design, Bayesian A/B testing and optimization • Predictive marketing mix & attribution modeling • Segmentation, propensity, Customer lifetime value and erosion analysis • Quantitative copy testing and market research • Team leadership, including people management
Principal Data Scientist at Memorial Sloan Kettering Cancer Center
Ph.D, Industrial Engineering