Work across all lines of business to help design, execute, read, and analyze risk collections tests.♦ Provide analytics and insights for collections strategies across all of Citigroups line of business.♦ Calculate return on investment on strategies and products.♦ Work with Citi Client First, a strategy to communicates with customers at a person level, not account levels.

Created incentives goals for over 4,000 employees across the US and Canada. Ensured that the 1,200 branches are assigned appropriate goals based on the risk profile and marketing support the branch receives. Using data analysis, Identified characteristics of successful branches and use these data to formulate and implement training for branches falling short on their goals.♦ Proactively identify opportunities and train the branch network on how to use data analysis to become more profitable. Through training incrementally increased the company's revenue by $2.8MM in one area and over $26MM in 2013.♦ Redeveloped the target setting methodology to create less outliers and more uniform and equitable targets.♦ Developing a cost/benefit analysis of an overflow branch strategy, and the impact it would have on OneMain Financial.♦ Estimate the cost and benefits of the NASCAR sponsorship, and if the sponsorship provides suitable benefit to the company.

I led a team of three members that identified opportunities which made programs more cost efficient and profitable. I performed a variety of statistical techniques, including logistic regression, least squares regression, segmentation, and cluster analysis, and present to each of the various acquisition teams in CitiFinancial. ♦ Built and managed a Marketing Data Warehouse. The Marketing Data Warehouse was built to curb costs for outside vendor data analysis. This allows the decision management team to construct datasets for analysis and model building, rather than outsourcing. Through modeling projects and other ad hoc analyses, the Marketing Data Warehouse has eliminated over $750,000 in external fees in 1.5 years.♦ Built an updated response model for the new customer acquisition. Through analysis, the existing response model had been losing efficiency over time. Using logistic regression, built a response model over the pre-approved home owner and renter segments. The updated response model had a 30% lift over the old model.♦ Identified internal and external data sources for analysis. A profile analysis showed people with existing loans through a competing finance company were 30% more likely to respond. Worked with the bureaus to identify Finance company tradeline attributes and appended the attributes to the bureau extract.

Develop statistical models and analysis for a variety of Fortune 100 companies, including:financial services, automotive, Business to Business, healthcare, and retail environments♦ Worked with customer acquisition and customer retention for Volkswagen. Identified customers with three or more repairs in the first year of ownership were 70% more likely to leave the brand. Worked with the advertising agency to develop a retention plan for high frequency customers. Developed a suite of models for acquisition and cross-sell of each VW vehicle. Grew the business from a $200,000 client to over a $1,000,000 client for Euro RSCG 4D Discovery.♦ Develop strategies that provide the highest return on investment (ROI) on direct mail, email, and outbound telephone programs♦ Develop and analyze business strategies♦ Create and deliver user friendly and actionable presentations of statistical findings for clients♦ Design experiments and sample size estimation to insure proper statistical testing Streamline statistical processing through SAS macro programming