My interest in product and data comes from a relentless need to understand why things work the way they do by ripping concepts apart until I can see exactly where to make them better. The quirks I had as a kid from organizing everything by color, size, and alphabetical order, obsessing over every last detail (screams Virgo, I know), spotting trends in shopping sales and products that over time rewired how I think and what I buy (still a compulsive online shopaholic) — those instincts became the foundation of how I work.

I work at the intersection of product, data, and design — building interactive dashboards, prototyping solutions, mapping competitive landscapes, and turning ambiguous problems into clear decisions. I've brought this to organizations like Johnson & Johnson, translating user research into product decisions, prioritizing features, driving GTM strategy, and running validation experiments to proactively ship products people actually want. I also hold a Master's in Operations Research from Cornell, with a multidisciplinary curriculum spanning product management, lean principles, machine learning, and product design which has shaped the way I think about systems, scale, and what it takes to build AI-driven products that can push beyond existing solutions.

When I'm not working, I'm cafe hopping, endlessly yapping about fashion and interiors, and taking (amateur) photos of everything.

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