I'm someone who gets genuinely excited about solving puzzles, especially the kind that involve millions of data points and real-world impact. My journey started at IIT Madras, where I discovered that I love the challenge of taking complex problems and breaking them down into elegant solutions. That's what led me to Columbia for my Master's in Data Science, and now I'm putting those skills to work at CVS Health.

What I'm most proud of isn't just the technical achievements, it's the human side of the work. I led a project that completely transformed how we process business data, and the most rewarding part wasn't the coding or the algorithms. It was sitting down with stakeholders from different teams, understanding their pain points, and building something that actually made their lives easier. That work generated $3M+ in its first year and earned me an Excellence Award, but what I remember most is the look on people's faces when they realized how much time we'd saved them. As a Senior Data Scientist, I now architect and deploy production multi-agent LLM systems that put that same focus on real-world impact.

I've always been drawn to the intersection of technology and people. At Columbia, I taught Data Visualization to 120+ graduate students, and I loved seeing that moment when complex concepts clicked for someone. I've published research papers, won hackathons (including first place at Harvard's LISH competition), and built systems that process everything from healthcare claims to credit recovery models. But what keeps me motivated is knowing that behind every algorithm, there are real people whose work gets easier because of what we build.

These days, I'm particularly fascinated by generative AI and large language models. There's something incredible about teaching machines to understand human language and generate code that actually works. I believe the future of data science isn't just about building better models, it's about making AI more accessible and practical for everyone who needs it.