Doctoral Student in Decision Sciences at IIM Bangalore
Hi! I’m currently a student at IIM Bangalore, driven by a curiosity to understand complexity and make decisions in uncertain environments. My academic journey began at Hindu College, University of Delhi, where I earned both my Bachelors and Masters in Statistics (Class of 2024). During this time, I worked on projects in Natural Language Processing and Supervised Machine Learning, which deepened my interest in blending statistical theory with impactful, real-world applications.
My current research interests include decision-making under uncertainty, exploring rare and extreme events in tail distributions, causal inference, and building models in Bayesian and distributionally robust optimization (DRO) frameworks.
Outside of academics, I find that my hobbies mirror my research approach: photography sharpens my eye for detail, travelling nurtures my openness to new perspectives, and cooking satisfies my love for experimentation and iteration—especially when the “data” is delicious food.
I have done 4 different projects based on openCV and other cutting edge algorithms on computer vision. Please have a look.
A small tutorial on image classification and segmentation tasks.
Made a virtual assistant with the power to assess user sentiments and act accordingly. Still in beta version. Suggestions are welcome!