Owned the business performance of the machine learning models that supported the Claims & Risk Solutions team to detected potential fraud, recovery opportunities, and straight-through-processing (STP) that drove cost savings.● Achieved 25% STP using NLP and Snorkel AI models to improve customer experience by paying claims quicker.● Increased potential fraud referrals using ISO Claim Director data and developed a new Power BI user-interface to improve user experience, adoption and tracking.● Modernized model deployment to Domino Data Labs and Databricks which drove model automation, improved quality and enable API integration with business applications and workbenches. ● Enriched the data warehouse with new data sources like unstructured claim notes and loss control surveys to enable the development of new data & actuarial science solutions by defining user stories and testing deployments.● Introduced and applied Agile methods with on and offshore teams to expand data science capacity and velocity to deliver use cases without increasing cost.● Articulated a data monetization strategic thinking to executive leadership how to define data science business cases to align with risk solutions value proposition. ● Demonstrated excellent communication, interpersonal skills, and executive stakeholder management at bi-monthly project meetings and stand-ups.

Devised and executed a data & analytic (D&A) strategy to enhance data, promote literacy, and deliver analytic solutions. Improved the profitability of renewed policies with the creation of Renewal Pricing Strategies (RPS) analytic solution that assigns the best renewal premium for underwriting. Attributed as a main factor returning to double-digit NCOR.● Implemented a Smart Fraud referral solution using machine learning to flag potential fraudulent claims.● Drove higher automation of claims, renewals, quotes, and trade credit limit requests with a data-driven strategies and machine learning and robotic processing automation (RPA)● Increased data literacy of business users through the D&A Literacy training program that doubled D&A capacity for business intelligence and analytics and avoided $1M costs for additional headcounts.● Established Data Governance policy and Data Council to bring together data owners to govern, improved data quality, defined strategic data enrichment strategies, and complied with local regulations.● Managed data warehouse by ensuring a reliable level of service and enriching it with new data sources like policy-level expense data, actuarial development curves, workflow, and unstructured notes data.● Enabling data decision making with the agile design of Tableau dashboards for claims and underwriting.● Managed a team of twenty analysts located remotely in Manila and Bangalore.

Implemented machine learning models in Salesforce.com to grow gross-written premiums through new client acquisition, cross-selling, and retention globally.

Led a team of 23 analysts supporting analytics, campaign management, sales incentive planning, and data capabilities in Singapore and India. Optimized sales' decision making to cross-sell utilizing next best offer model to yield over S$1MM in incremental revenues.● Introduced an Economic Value score to measure the NPV of each unsecured loan booked. Subsequently recommended price changes and sales staff allocation to drive over S$5MM in higher profitability.● Enhanced sales usage offers targeting with a Merchant Recommendation Engine for credit card-specific discounts to drive higher incremental sales.

Led a team of twenty-five analysts supporting data governance, campaign management, data analytics, and performance measurement in Japan, India, and China.● Implement use of the first reward redemption survival model for targeting customers from high cost-per-point reward items to lower cost-per-point items and successfully change customer behavior.● Developing online acquisition offers optimization to allocate marketing best spend across the homepage, search engine marketing, and affiliates.

Led a team of 4 analysts supporting campaign analytics for Retention and Loss Mitigation. Improved profitability with a retention-loan-level-P&L-offer-optimization that selected offers that would maximize business impact and targeted only borrowers that would have positive incremental P&L impact.● Reduced NCL using segmentation and targeting analytics for pro-active modification and short-sale treatments.● Implemented a bottom-up forecast process to improve campaign predictions to estimate daily applications and campaign potential.● Recognized with 2011 Citi Leaders in Excellence Award.

Led a team in charge of the Citi Brands Balance Growth strategy encompassing Balance Transfer, Credit Line Increase, and Cash programs.● Significantly turnaround in the Balance Transfer program that significantly dragged the business to a truly profitable engine.● Developed a new pre-delinquency strategy to reduce future losses by giving high-risk customers incentives to pay down balances before they charge off.

Vice President, Advance Analytical Solutions Decision Management, Bangalore, India, 9/2005-9/2006Trained a "captive" team of Indian analysts in P&L and analytical processes to support U.S. Cards business. Pioneered the off and on-shores engagement model to optimize communication and work processes.