Spearheaded the data science strategy for high-impact initiatives such as Fastlane and Shopper Personalization, optimizing the Checkout experience and driving up to a 50% lift in guest conversion and a 7% lift in revenue.These initiatives were recognized in earnings call and Investor Day.

Hired, built, and led a high-performing Data Science team for Checkout Product Analytics, driving insights that influence 70% of PayPal Inc.'s revenue

Developed a new consumer preference metric that offers an external perspective on PayPal selection at checkout, compared to competitors. Leveraged advanced data mining techniques and data science model, integrating both internal and external data sources to drive insights.

Transformed product data science team to become strategic thought partners for product teams, delivering actionable insights that drive customer experience improvements.

Led the re-engineering of instrumentation, data pipelines, and governance across all product lines, ensuring alignment with business objectives and enhancing cross-functional collaboration.

Designed and executed rapid experiments on the checkout platform’s latency track, achieving a 2X latency reduction, +50bps conversion improvement and $26M in annual incremental revenue.

Led a global, org-wide initiative for the Google Cloud migration and successfully migrated Analytics data pipeline while leading the BI tool evaluation committee.

Spearheaded the development of a data pipeline SSOT, experimentation platform, and optimized BI solutions, tools, and automation, reducing analytics capacity usage by 30%.

• Built User Behavior Analytics (FPTI) platform for End-to-end tracking across PayPal which enabled holistic measurement of site usage, conversion, marketing campaign effectiveness, triaging etc.

• Hands-on experience with a complete solution in data ingestion, data transformation, and data visualization.

• Built data framework (Live2Test) to simulate production traffic in regression testing environments for live merchant integration patterns, live issue reproduction, and performance testing.

• Extensively used big data technologies like Hadoop/HDFS, MapReduce, HIVE, Pig, Zookeeper, OOzie, Druid, Tableau to improve checkout conversion and production triaging.

• Led highly visible complex projects at PayPal such as Shipping, Global Bank Verification, Unified Checkout, Ship2Fund & Point of sale, etc. that enabled PayPal to break into new market segments

• Led analysis, design, development, testing, and implementation of mission-critical applications using C/C++ & Java on Unix/Linux platform and applied object-oriented and design pattern concepts.