Denver Metropolitan Area
I'm an analytics leader specializing in product experimentation, measurement strategy, and the kind of analysis that actually changes what a team builds next. My work lives at the intersection of statistical rigor and business intuition. I've architected Python-based A/B testing infrastructure powering 200+ concurrent experiments, applied causal inference methods to isolate true product impact, and used LLMs to extract signal from unstructured user feedback at scale. More recently I've been exploring agentic AI workflows to construct systems where models don't just answer questions but autonomously surface insights, flag anomalies, and drive the analysis loop end-to-end. Beyond the technical work I care deeply about elevating the people around me. I've launched analyst development programs, led weekly cross-team collaboration sessions, and mentored analysts into stronger and more independent contributors. Great analytics is equal parts science and storytelling. The work isn't done until the insight actually moves something or makes a decision clearer. Getting down to those nuanced findings is something that I’m really passionate about, and has continued to motivate me throughout my entire analytics career!