05/29/2026
Graduate spotlight π Arvind Nagabhirava graduated with a Master of Science in Data Science! He reflects on his experience at DSI:
π Favorite DSI memory:
"My most memorable momentβor rather, collection of momentsβis definitely the time I spent with Dr. Galen McKinley's lab as part of the DSI Scholars program. With the MSDS being a course-based master's degree, I didn't expect to have the chance to do research during my time at Columbia University, but I'm so glad I did. The project I worked on aims to attribute value to different observations used to train a model predicting CO2 levels in the ocean. I had a wonderful time collaborating with the team across the year.
Spending spring break with Columbia's Ultimate Frisbee teams comes in a close second for my most memorable time at Columbia, though!"
π Favorite class:
"Causal Inference, taught by Professor Adam Kelleher. He does a wonderful job breaking down the course content into manageable pieces. I especially appreciated the many code snippets he included with the lecture notes to help deepen our understanding of various causal inference techniques."
π What's next?
"I'm currently working full-time at Barclays as a Portfolio Insights Analyst after interning with them last year through their partnership with Columbia Engineering."
πHow has DSI prepared you for your future career?
"In addition to my coursework spanning stochastic models, causal inference, forecasting, and more, my time at has given me countless opportunities to do things I didn't expect would be part of my master's degree. I've learned so much from doing research, investigating the "knowledge of crowds" through my capstone project with the Zuckerman Institute, having the opportunity to design and lead a recitation as a Course Assistant for the Algorithms course, and all the events I've been able to be a part of through the DSI Student Council.
More than anything, DSI opened doors for me to test-run all the skills I've developed across my two degrees in Data Science."