Curious about systems β how they behave, adapt, and scale.
Trying to understand them through code, models, and experiments.
- Data Science (UG) @ IIT Madras
- Drawn to problems where complexity, uncertainty, and computation meet
- Mostly learning by building β via code, models, and critical iteration
- Long-term: work on impactful problems in research, finance, or applied science
Not exhaustive β just what Iβve used most often
- Languages: Python, C++, TypeScript, Bash
- Frontend: HTML, CSS, JS, Astro, Vue, Tailwind
- Backend: Node.js, Express.js, Postgres
- Infra: Git, Docker, Linux, GitHub Actions, Nginx
- Tooling: Figma, Vite, Prettier, ESLint, GitHub CLI
- Data / Modeling: Pandas, NumPy, Matplotlib, Scikit-learn, Jupyter
- Building fluency across data, ML, and dev workflows
- Working on a quant trading system β exploring data, risk, execution, and infra
- Email: arpanjha234@gmail.com
- LinkedIn: linkedin.com/in/arpanjha234
- Discord: @arpanjha234
- Website: Coming soon...