At The Trade Desk, I lead end-to-end analysis and data products for executive questions across Finance, GTM, Product, and Operations. I turn ambiguous problems into governed metrics, clear recommendations, and self-service decision tools.
I've built Snowflake/dbt datasets and Tableau reporting for 3,000+ advertiser accounts, spanning Salesforce CRM, advertising spend, forecasting, product adoption, and revenue. My KPI frameworks and validation controls reduced QBR preparation by about 20 hours per cycle, while pipeline-to-revenue analysis surfaced a 31% increase in actionable pipeline.
Previously, I built automated reporting at The Trade Desk, analyzed engagement for 38.6M consumers and 2.6M healthcare professionals at WebMD, and developed executive analytics and a Python regression model at Manhattan Mini Storage. I enjoy reconciling conflicting definitions, mentoring analysts, and translating complex findings into decisions leaders can act on.
