• Led a team of data analysts. I coordinated analytical projects that included: collecting and analyzing data, conducting research and making recommendations to stakeholders to improve future outcomes, that align with strategic initiatives across the Risk organization. • Created and maintain an automated risk monitoring platform from the ground up on an Ubuntu cloud server using R, Python and ServiceNow, enabling Risk Policy Operations to track over 20,000 metrics and inform business units and leadership before they are reflected in business unit KPIs.• Designed, built and maintain an automated real-time monitoring engine running on Sherlock IO, using Prometheus, and Grafana to monitor key drivers of losses, reducing detection time of product failures and fraud attacks from 3 days to under an hour, significantly minimizing eBay’s loss exposure year-over-year.• Created Business Intelligence metrics dashboard using MongoDB, NodeJS and Kibana, allowing emerging threat and risk analysts to do quick deep dives into automated alerts, eliminating the need to run SQL code and reducing resolution time from one hour to 5 minutes with realized savings of over $500,000 per year.• Architected automated monitoring process to flag and block compliance violations from forbidden countries using Python.• Developed and own ETL processes using series of shell scripts and SQL for Risk Policy Operations.• Direct people management over a team of analysts and engineers. • Onboard and mentor engineers and analysts, teaching SQL, Python, and R when necessary, while educating on fraud and risk issues and practices during bi-weekly Analyst Corner meetings and individually as needed.

• Designed and installed an automated process to identify high risk transactions using SAS/Teradata with dynamic/expansion capabilities replacing a static Excel process, resulting in a 25% reduction of yearly losses over $25K.• Created a reporting suite using Tableau to measure efficiency of risk monitoring activities.• Developed and managed a series of Tableau Dashboards for Risk Policy Operations.

• Led global teams of analysts and modelers to deliver customer insights, predictive models, and metrics to inform customer strategy recommendations for both the Consumer and Small Business CRM segments, working cross-functionally with Advertising teams.• Implemented segmentation and analysis frameworks to identify biggest opportunities for growth in Dell's customer base and prospect universe, including restructuring Back to School targeting resulting in a gain of 10,000 incremental buyers in 2015. (Awarded Quarterly Silver Star for leading Customer Segmentation project).• Optimized Consumer and SMB marketing strategies by gaining deeper understanding of customer value drivers and lifecycle trends.• Led an initiative to integrate online attribution models with CRM, helping to inform Media strategy and spend.• Acted as Dell lead in implementing CRM Quarterly Business Review; an executive presentation within Dell Marketing on how the team’s targeted marketing campaigns are performing.

• Managed a team of analysts delivering acquisition and retention pricing for Fortune 50 energy company working with Sales team to meet and exceed $500M sales goals.• Designed and implemented a predictive consumer retention model replacing arbitrary price increases, increasing profits by $24M in 2013.• Created and implemented a collection scoring model for bad debt, reducing losses by $3M.• Designed and installed a customer valuation model and customer retention strategies that optimized high value customer retention, reducing account losses.

• Created models to forecast how much energy to buy for Northeastern US customers.• Maintained existing forecast models for Ercot and NYISO, identifying key areas for improvement.• Identified code improvements in existing load forecasting models, resulting in a run time decrease of 70% by transitioning from Stata to SAS.

• Conducted customer analytics using SAS, increasing customer retention and acquisition.• Identified areas for operational efficiencies and improvements, including reducing bad debt by revising customer payment methods, realizing savings of more than $360K per year.

• Cross-functional analytical support for Marketing, Collection and Fraud divisions within DFS, with responsibility for analyzing transactional data to create and modify fraud detection rules using SAS E-Miner.• Awarded BPI Greenbelt for leading Dell’s Fraud Rule optimization project, reducing fraud exposure by 5% in addition to reducing false negative fraud by 15%.

• Conducted large and small quantitative and qualitative segmentation projects for clients including Sony and Logitech to support global email marketing campaigns, automating the process by moving from Excel to SAS.• Owned the NPS (net promoter score) Voice of the Customer surveys for Sony USA, making survey design recommendations, conducting analysis, and capturing key insights on customer behavior.