I’m a PM who thinks in metrics first, using user research, analytics, and experimentation to turn ambiguity into product decisions.
I'm the person who asks "what does the data say" before anyone starts building.
I studied Cognitive Science, Design, and Computer Science at UC Davis, where I spent two-plus years doing research, building data pipelines in Python and SQL, and presenting findings to cross-functional teams.
Now I'm starting my M.S. in Business Analytics at Carnegie Mellon's Tepper School. Before that, I worked across product and analytics: I set up KPI frameworks at Digo, built conversion dashboards at Giri Inc., improved invoice-matching accuracy at Opsfinity, and ran A/B tests at TechEquity AI.
I like working at the intersection of data and product decisions. I’m especially drawn to PM and analyst roles where strong decisions come from strong signals.
Designed a family archive app that balances secure document storage with memory-keeping, after synthesizing 60 survey responses and 15 interviews into a six-week product sprint.
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Event organizers were losing 10+ hours per event across five disconnected tools. I led an AI event platform from discovery to launch, shaping the roadmap and ML-informed product decisions around 10+ organizer interviews, and cut manual setup time by 50%.
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Early-stage product teams have dashboards nobody trusts. I built an AI analytics copilot that answers questions in plain English in under 30 seconds, against a ~25 minute manual baseline, and lifted weekly active query volume 40% across 3 A/B tests.
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Owned early product discovery and KPI tracking for an AI event platform, turning organizer research into sharper MVP priorities.
Used analytics, research, and experimentation to tighten Giri’s funnel and make checkout decisions more evidence-driven.
Improved invoice-matching accuracy in Acumatica ERP data and cut manual review workload for the finance team.
Designed product flows for an AI tutoring platform and used testing to improve onboarding, accessibility, and personalization.
Built data pipelines and benchmarking workflows for network-security research, turning technical experiments into clearer findings for the lab.
M.S. Business Analytics
B.S. Cognitive Science · B.A. Design · Minor in Computer Science
Open to PM and analytics roles. Or just want to talk about something you’re building? Let’s chat.
