A Data Science professional with 7+ years experience in internet, marketing and automobile industries. Areas of interest include Deep Learning, Traditional Machine learning, Numerical Simulation and Optimization. First-hand experience of building and deploying models in the area of behavioral targeting, personalization, promo/media measurement and supply chain optimization. Currently as a Data Scientist at Facebook Inc., Nikhil is working on many interesting projects in the Small Business Group (SBG). His work involves measurement consultation for different program areas within SBG and building measurement tools for other data scientists to help effectively launch and measure their campaigns. Previously as a Principal Data Scientist at Quotient Technology Inc., Nikhil worked on many interesting projects varying from Retailer Precision Targeting, deploying recommendation engines to supporting the clients by statistically validating the effect of Media on Coupons.com in driving their brand volume. He graduated from Carl.H. Lindner College of Business, University of Cincinnati in August 2015 majoring in Business Analytics.He has chosen career transition into Business Analytics to follow his passion for Mathematics. Prior to joining UC, he worked in the Operations Research department at Yamaha Motor Corporation, India in the area of Prescriptive Analytics. He had developed optimal solutions and baselines for many industrial processes using Optimization and Simulation techniques. Technical Skills: Statistical Packages : SAS, R, SPSS, SAS Enterprise Miner Database : SQL Programming : Python, C, MATLAB Data Visualization : Tableau Simulation: Arena, @RISK Optimization: MS Excel, Open Solver, GAMS, AMPL Interests: Prescriptive Analytics, Predictive Modeling, Statistical Methods and Data Management