Analyzed performance of millions of sellers to enhance site trust performance by reducing bad buying experience and driving business growthProvided strategic partnership and analytic support in launching new seller standards to increase buyer satisfaction and drive loyalty which will help sellers flourish their businesses Optimized existing policies under business requirements to increase bad buying experience impact and reduce business breakageProvided analytical support to launch seller coaching in customer support and on online seller dashboard to improve performance of sellers to drive business growth

Validated Strategic Default score which predicts the likelihood of a consumer to strategically default on their mortgage related trade linesDeveloped Credit Capacity Index model which rank-orders consumers, with the same level of risk, by their capacity to take on new revolving debt Analyzed new mortgage data to show the superior predictive power of FICO scores in the mortgage sector as compared to the proposed Qualified Residential Mortgage credit criteriaValidated out of time credit bureau data to show that Global FICO Score rank orders risk

Analyzed transaction and rewards data for a client in the airlines industry and classified their members into meaningful traveler segments in order to increase the effectiveness of their marketing campaignsAnalyzed customer and clinic level data for an animal health care company and assisted in their Profit PlanningClassified customers into different lifecycle stages and managed the loyalty program for a CPG client

Developed statistical models using SAS to analyze the service data for a client in the automobile industry and to understand the behavior and service pattern of their existing customers to improve the direct marketing strategyAnalyzed service and sales data and measured ROI for the various marketing campaigns for a client in the automobile industryAnalyzed the coupon bundling strategy for a client in the CPG sector (Direct Mail test campaign)

•Analyzed the prescriptions for 50 million patients using SAS, SQL and Access•Identified the interaction between the patients, physicians and insurance companies and projected the requirements for the next three years

Developed an algorithm using integer programming (AMPL and CPLEX) to optimize the backbone telecom networkAchieved cost savings of more than 20% (reduced the cost from .99 million EUR to .77 million EUR)