The Intersection of Data
& Enterprise

Growing up in India, I was always drawn to patterns — whether in mathematics, market trends, or the intricate designs of traditional jewelry. This curiosity led me to pursue Data Science at UCSD, where I discovered the power of translating complex datasets into actionable insights.

At UCSD, courses like CSE 258 (Recommender Systems), DSC 80 (Data Science in Practice), and CSE 150A (AI) shaped my approach to problem-solving. I developed a deep appreciation for how graph theory and machine learning can model real-world networks and decision systems.

Alongside my studies, I took my family's century-old jewelry business, Gondilal Saraf, online — building its full-stack digital platform to solidify a generational legacy and bring transparency to customers who have long relied on word-of-mouth and trust. On top of the storefront, I apply data science to inventory optimization, customer segmentation, and demand forecasting. Working inside a generational business while studying taught me how to bridge the gap between theory and practice, and gave me a unique perspective on how technology can transform traditional industries.

My minor in Entrepreneurship & Innovation at UCSD further solidified my belief that the best solutions emerge when technical rigor meets creative thinking and real-world constraints.