About Me
I'm a graduate data science student and researcher at Columbia University's Data Science Institute. I also run Product Science Consulting. My passion is to blend research methods with product thinking to understand users and build better products for them. Previously, I led engineering and product teams at Amazon for 8 years, applying human-centered, scientific approaches to Alexa that enhanced user engagement on Alexa's smart displays and websites.
Products
Alexa+
Launched innovative audiovisual screen responses for Alexa+, the next-generation of Alexa powered by generative AI. Read more here.
Echo Show
Increased device interaction and customer satisfaction with Alexa's smart display devices. Read more here.
AlexaAnswers.com
Led 10x growth in monthly active users through product experiments and marketing expansion. Read more here.
Research
Climate Data Science
"Structured dataset of cloud seeding in the U.S. (2000–2025) using a large language model". Built pdf-to-text pipeline with OpenAI integration to extract metadata from 1,000 scanned NOAA reports, addressing a gap in structured cloud seeding data. ArXiv.
Behavioral Science
Proposed original behavioral economics experiment to test for k-level strategic route choice in navigation apps (e.g. Google Maps). PDF.
Education
M.S. Data Science, Columbia University
- Data Science Institute Scholar
- Research Interests: Research Methods, Experiment Design, User Behavior
- Selected Coursework: Design & Analysis of Online Experiments, Causal Inference, Statistical Inference & Modeling, Philosophy of Science, User Interface Design, Behavioral Economics, Human-Centered Design & Innovation
