Performed regression analysis to predict sales across major industries for three continents. Applied weight of evidence technique for segmentation in model building. Other techniques such as imputation, variable transformation were performed to achieve normality in the data for linear regression.Predicted the delinquency rate for a major telecommunication client using Logistic Regression.

Worked on analytics projects and deliverables consisting primarily of information that creates visibility to the very tangible aspects of targeted direct mail for various marketing campaigns.Performed statistical and quantitative data analysis for cross sell campaigns.Extensively used Red point – Data Management tool for cassing and standardizing addresses and used this data for creating reports using SAS.Used various procedures such as proc surveyselect, proc freq for data analysis in Shopper Alert program whose value proposition is to maximize loan cross – sell opportunities to increase product penetration, revenue and ultimately customer lifetime value.Performed Chi square, ANOVA and ANCOVA for testing hypothesis and for reporting distribution of retail products across groups.

Responsible for driving fraud loss reduction for Card portfolio through analysis and strategy development. Worked in close partnership with front line Fraud Operations to mitigate fraud risks. Prepared Automation of manual processes to provide efficiencies and enhance fraud detection.Analyzed customer transaction data to develop and improve fraud strategies for ATM/debit cards.

Prepared Economic Capital Report for Citizens Economic Capital and Treasury department. Performed analysis of Risk model inputs and outputs using SAS 9.2 , SAS EG 4.2 .Evaluated credit risk parameters such as Probability of default(PD) ,Loss given default(LGD) and credit exposures and data trends for Wholesale and Retail portfolios and determined the economic capital.

Performed data analysis for Data management and Biometrics department besides contributing to the discovery, development and distribution of products to customers.Created analysis datasets, generated summary tables, logs, data listings, and graphs for study and validation of the data using SAS standard coding techniques.