At Prop Firm Match, I built and lead the Data & Analytics function, bringing data engineering, product analytics, growth, RevOps, and AI initiatives together around commercial priorities. I developed a governed analytics platform that consolidates data from more than 10 sources and supports trusted metrics and self-service analysis.
I led AI-powered analytics initiatives, including natural-language access to the enterprise data warehouse and workflows for performance monitoring and customer feedback classification. These tools reduced reliance on traditional reporting and manual analytical effort.
Previously, at P2P.org, I built and led the Data & Analytics organization, mentoring a team of 9+ and unifying data across the business. My work included optimization algorithms that boosted validator APR from 12% to 16% across three blockchains, company-wide data marts that cut the financial reporting cycle from 15 days to 1 day, and external data products that increased institutional client engagement by 30%.
