Staff Analytics Scientist & AI Enthusiast
“The most common way people give up their power is by thinking they don't have any.”
Staff Analytics Scientist with a strong foundation in statistics, analytics, and product strategy. Over the past 6+ years, I've led the creation and evolution of the Business Intelligence function — from launching Looker across the company to defining critical KPIs, optimizing data models, and mentoring a high-performing team of analysts and scientists.
I combine technical skills in Python, R, SQL, and LookML with a deep understanding of business needs to drive data-informed decisions across product, marketing, and strategy. Passionate about user segmentation, retention analytics, experimentation, and building scalable data solutions that empower teams.
I thrive at the intersection of data and leadership — creating safe, growth-oriented environments where teams can innovate, experiment, and turn data into impact.
I bridge the gap between complex data and strategic business decisions.
Staff Analytics Scientist
Led a production-grade analytics platform with an LLM-powered conversational analytics layer enabling self-service access to complex business metrics, significantly reducing reliance on SQL and accelerating decision-making
Head of Business Intelligence
Led the deployment of Looker across the organization, creating scalable data models and dashboards that democratized data insights for product, marketing, and strategy teams.
Data Scientist
Built a comprehensive retention analytics framework that identifies behavioral patterns, at-risk user segments, and drives data-informed engagement strategies.
Data Scientist
Designed and implemented a robust experimentation infrastructure enabling product teams to run A/B tests with statistical rigor and clear impact measurement.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.