Data Products & Analytics Leader specializing in Risk, Pricing, and AI/ML for High-Volume Digital Commerce.
With a DBA in Business Administration, multiple advanced degrees in Data Analytics, and a foundation built on honorable service as a U.S. Navy Veteran, I bridge the gap between rigorous academic research and high-stakes corporate execution.
Over the past decade, I have led data product roadmaps for global enterprise giants. My work focuses on building sustainable, scalable ML solutions—from dynamic pricing engines that save tens of millions in gross margin, to anomaly detection systems that protect global storefronts from sophisticated arbitrage.
Years of Analytics Leadership
Annual Margin Optimization
Tailored data strategies and AI-driven solutions to optimize pricing, mitigate risk, and scale your digital commerce operations.
Implement geo-targeted arbitrage detection, mitigate pricing abuse, and optimize payment processors to protect global margins.
Deploy production-ready ML models for engagement forecasting, lead scoring, and automated decision-making.
Develop data-backed dynamic pricing frameworks to capture revenue efficiency and drive substantial gross margin improvements.
Align legal, engineering, and business teams around cohesive data strategies and digital transformation initiatives.
Move beyond simple correlations with difference-in-differences, causal forests, and advanced experimentation frameworks.
Need a bespoke solution for a complex M&A financial model or GenAI workflow?
Discuss Your ProjectThoughts on AI, behavioral analytics, and digital commerce.
Exploring behavioral drivers in high-volume digital environments and their implications for fraud detection.
How deploying causal inference and rigorous variance reduction creates financial predictability at enterprise scale.
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