I have more than 13 years of relevant experience in the field of reporting, analytics and Data Science. In these years I have worked on both traditional statistical models and modern days machine learning techniques. Domains : Call Center Inventory Management and Forecast at AON, Health Services Data For Fraud, appeal remediation, interest forecast on late charges at UHG, Content Recommendation and Brand Promotion at Everyday Health, User profiling in AdTech industry (Gender, Location, Income, Interest) at VServ, Complete Data Science Product development at Accenture starting from Data acceptance to model development, taking it live in production and performance tracking. Hands on Experience: Support Vector Machine, Neural Network, Boosting Techniques, Clustering, Recommender System, Anomaly Detection, Logistic and Linear Regression, Factor Analysis Tools : Python, R, SAS, VBA Excel, LINUX, Hive, PySpark, GIT