ABOUT ME

The Philosophy

I believe the most impactful intelligence is built from the ground up. While many rely on the "magic" of pre-built libraries, my approach to Data Science is rooted in mathematical rigor and fundamental clarity.

Whether I am implementing Gaussian Mixture Models from scratch to demystify complex algorithms or guiding students through the nuances of Python at Boston University, my focus remains the same: mastering the fundamentals to build systems with purpose.

The Journey

Currently graduating with an MS in Data Science at Boston University, I served as a Graduate Teaching Assistant at the Faculty of Computing and Data Sciences. My professional background includes architecting solutions as a Data Scientist Apprentice at MassMutual and refining analytical frameworks as a Data Analyst Intern at Temenos India.

The Vision

My work sits at the intersection of Machine Learning and Large Language Models, driven by a commitment to developing projects that move beyond "proof of concept" into meaningful, real-world utility.

• Recognition: Beyond the data, I am a former National Quizzer on Indian National Television—a background that fuels my lifelong pursuit of clarity and rapid knowledge synthesis.