LinkedIn Profile I like to build models for messy systems, and financial markets are one of the messiest systems I have wanted to understand. My interest in quantitative research started with a personal curiosity around AI-driven market signals and gradually grew into a deeper pursuit of financial theory, stochastic modeling, and machine learning for investment research. I graduated in Computer Science and Engineering from IIT Gandhinagar and began my career as a data scientist at a process intelligence company. At Skan AI, I worked with noisy enterprise data, building machine learning systems for scale that could extract structure from unstructured behavior, text, and workflows. I like breaking down complex problems into actionable tasks to drive the most impact. This fall, joining Carnegie Mellon’s MSCF program as a Squarepoint Fellow, I look forward to strengthening my foundations in finance. This, along with my strong background in mathematics, algorithms, machine learning, probabilistic modeling and programming positions me well for quantitative research roles. Outside models and markets, I am shaped by competitive sports as much as by technical work. At IITGN, I captained the Aquatics Team and served as Vice-Captain of the Basketball Team while balancing academics, student activities, and research. Endurance sports, marathons, Hyrox, music, and travel continue to keep me adaptive, competitive, and curious. I would love to connect over a coffee chat, call or a game of any sort to discuss more about my experiences or to learn something new!
