• Develop & design propriety BI delivery platform in Hadoop to drive merchant engagement at scale globally - Developed products to provide actionable insights on performance, customer profiling and competitor landscape of our merchants across different industries - Partnered with Technology to develop & launch proprietary BI tools(1000+ users) to enable delivery of insights in the form of client ready presentation• Evaluate Machine Learning algorithms and develop customize algorithms to enrich merchant data quality to enable marketing, dispute reduction and industry bonusing initiatives - Developed next gen machine learning models and arbitration logic to improve merchant industry codes (SIC) to deliver industry specific customer benefits (MR Points, cash back etc.)- Developed matching algorithms to match external data sources e.g. Radius, Factual and trip advisor and cleanse merchant name, address, geo code to drive customer engagement via digital assets (e.g. Map, dynamic emails) and dispute reduction

• Develop & Delivery Data Products at scale in partnership with Ad Tech companies to drive customer engagement through digital advertisements for our merchants - Scaled up the delivery of Online Ad targeting and measurement solutions leveraging Big Data techniques and delivered for 60+ merchants across different industries, representing ~3.5 MM+ consulting dollars - Developed post campaign control group setup methodology levering K-nearest neighbor algorithm for ad campaign measurement, which has been used to measure effectiveness of Amex digital offer campaigns- Developed Mall Insights product to measure performance of Mall properties in partnership with Retail Next, successfully sold to General growth property for $1.8MM- Evaluated and proposed new partnership opportunity with Ad Tech companies for new revenue generation opportunity • Evaluate New Data Vendors - Developed POC solution to extract information about merchants via Bing Search snippet to enrich merchant data attributes (e.g. Name, Address, Industry etc.)

• Develop customer segmentation and targeting strategy for Amex Merchants at scale- Delivered 10 industry models and 8 custom models to predict the likelihood of a customer to spend at a given industry /merchant- Developed consumer clustering strategy of U.S. luxury watch buyers based on Amex closed loop spend and demographic information to identify market, product, retailing opportunities• Elevate analytical innovation and drive operational efficiency thru standardization & streamlined predictive model development process

• Develop and Implement probability models and business rules to proactively identify and minimize Credit Bust-Out (CBO) losses while ensuring superior customer experience- Developed and deployed CBO Held Remit Logic for US consumer and small business segment to proactively identify no good (NG) payments in advance. Identified and deferred $12MM NG payments annually- Deployed controls to emerging threats like synthetic Identity and credit repair- Logics developed by CBO Decision Science Team reduced CBO loss numbers 4 times

Model and Strategy Development: Develop targeting models & strategies to target the right customers for different products e.g. Debt Cancellation, Add-on-card through different channels- Call to Activate, Service to Sales.Campaign Execution: Setup, Standardized and automated Cross Sell Campaigns to target the right customer for right product through different channel- Call To Activate/ Service To Sales and IVR using SAS,SQL and VBAReporting: Designed, developed and automated the daily audit and flagging summary reports for Cross Sell through Call to Activate Channel.

• Designed and led the development of Statistical Modeling software Using R, Java and Unix Shell scripts.• Automated and standardized SAS code for reading large data from flat file into SAS datasets, creating time series datasets, metric computation using SAS and UNIX shell scripts. • Defined and computed different metrics for transition flow of employees from company to company and analyzed these metrics and financial metrics using SAS.• Trained and guided team members in SAS.