I’m a data science leader with experience building and managing product and growth data science teams. Over the past several years, I’ve led teams of data scientists and analysts working on experimentation, product analytics, growth strategy, forecasting, customer behavior, and decision science. My background is strongest in translating ambiguous product or business questions into clear analytical plans, building metrics and measurement frameworks, and helping teams use data to make better decisions.

I’m interested in volunteering with Data Science for Social Good because I’d like to apply my skills to problems with direct community and societal impact. Much of my professional work has focused on growth, product adoption, and customer outcomes; I’m excited by the opportunity to use the same toolkit for public interest work, whether that means improving access to services, helping nonprofits better understand their communities, evaluating program effectiveness, or building tools that help organizations operate more effectively.

My core skills include product analytics, experimentation and causal inference, SQL, Python, dashboarding, metric design, stakeholder communication, and data storytelling. I’m also comfortable scoping projects, mentoring other data scientists, reviewing analytical work, and helping non-technical partners turn broad questions into concrete data projects. I can contribute both as an individual contributor on analysis/modeling work and as a project lead helping organize the workstream.

What I hope to accomplish through volunteering is to contribute meaningfully to mission-driven organizations while also learning from people working closer to social impact domains. I’d like to help produce work that is rigorous, understandable, and actually useful to the project partner. I’m particularly interested in making sure data science work does not stop at a model or dashboard, but leads to clearer decisions and better outcomes for communities