Data scientist with special focus on Customer experience analysis, product analytics, Credit & Fraud Strategies, machine learning solutions, data modelling and scorecard development, Report development and visualization. - Customer experience analysis - Channel Analytics - Segmentation and lifetime values analytics - Customer engagement analytics - LOS Risk Strategy - Fraud analytics - Credit Risk PD/LGD/EAD - Sentiment analysis - Product and Capabilities analysis - Anomaly Detection Expertise in Big data environment (Hive, Pig, kafka, Spark), RDBMS systems (Sybase, Oracle, DB2), Teradata. Analytics expertise: R, Python, SAS E-miner, BASE SAS, SAS EG, PC SAS, MATLAB Quantitative & Statistics Expertise: Higher mathematics, Quantitative Finance, Econometric, Statistics for Data science. Visualization: Tableau, MS Visio, MS Excel.