I explore data-driven approaches to problem-solving — from mathematical modelling and statistical inference to end-to-end machine learning deployment on Azure. With a background in Astronomy and Engineering Physics, I bridge science and data to create meaningful insights.
I am a Computational Data Science graduate student at the National Institute of Technology, Karnataka.
My work spans data analysis, image processing, machine learning, and Bayesian inference for scientific and industrial applications.
Previously, during my M.Sc. in Astronomy at IIT Indore, I carried out research on galaxy clusters using the Sunyaev–Zel’dovich effect, involving Python-based simulations, C++ integration, and Monte Carlo inference.
Core SkillsConducted research on galaxy clusters through simulation and data analysis:
Completed industrial training focused on piezoelectric devices and quality control processes:
