At JPMorgan Chase, I drove an AI-assisted tool that analyzes datasets and assigns Protection Group codes, addressing inconsistent classification across Unified Data Models in a Snowflake data lake. The work improved PII masking and access control, helping data consumers rely on appropriately governed data.
I own strategy and roadmap for a slice of an AI/ML-powered data platform, working with engineering and data science from design through release and support. I write PRDs, define measurable outcomes, and use SQL, analytics, and experimentation to guide decisions; reported outcomes include a 30% improvement in data reliability and a 30% reduction in time-to-market.
At FactSet, I delivered AI/ML-enabled features and automation for a data platform, using customer feedback, telemetry, and usage data to shape roadmaps and PRDs. Earlier, I worked in pricing analysis and business data analysis, applying Python, AWS, SQL, and JavaScript to data models, dashboards, and automation.
