At Amazon, I improve fraud detection and payments-risk analytics through experimentation, model evaluation, and real-time performance monitoring. My work reduced fraud-related losses by 45%, decreased false positives by 50%, and delivered executive Power BI dashboards backed by SQL and DAX.
Across Northern Trust, Cognizant, and Optum, I've translated complex financial, healthcare, and operational data into validated reporting, forecasting, segmentation, and governance workflows. I've built ETL integrations, dimensional models, Tableau and Looker visualizations, and data-quality routines using Python, SQL, Snowflake, and dbt.
I bring 6+ years of experience turning stakeholder requirements into trusted metrics, clear recommendations, and self-service analytics.
