2nd-year CSE student at IIIT Kottayam. I spend my semester breaks self-teaching data science and ML from scratch and grinding DSA on the side — one project, one notebook, one solved problem at a time.
Three pages, three angles on the same slightly stubborn learning method.
Who I am, how I learn, and the full timeline from "let me learn pandas" to learning ML and deploying models.
Every language, library, and tool I've actually used in a project — not a wishlist, a working stack.
Kaggle submissions, deployed Streamlit apps, and portfolio analyses — filterable by what kind of work it is.