I’m a product data scientist with experience spanning large-scale user behavior experimentation at Amazon, startup product analytics, and applied research at Columbia Business School. I enjoy using scientifically rigorous methods to understand and solve real-world problems.
Improved device engagement and customer satisfaction with Alexa's smart display devices. Launched and measurably improved the quality of the new multimodal screen experiences for Alexa+.
Led 10x growth in monthly active users through product experiments and marketing expansion. Read more here.
Founded Product Science Consulting to help early-stage startups get from insights through measurable impact. Partnered with the founder of Mayah Design to improve product strategy, product development, and setup analytics infrastructure end to end.
First author of "Structured dataset of reported cloud seeding activities in the United States (2000–2025) using an LLM", published in Scientific Data. Built PDF extraction pipeline with OpenAI integration to process 1,000+ scanned NOAA cloud seeding reports into a structured dataset, helping address the gap in cloud seeding data. Conducted within-site difference-in-differences analysis to estimate the causal effect of cloud seeding on precipitation: Streamlit dashboard.