I'm an astrophysicist and data scientist — basically, I spend a lot of time wrangling galaxies and gigabytes. I recently wrapped up my PhD at Christ University, where I studied how galaxies form and evolve using data from telescopes like UVIT, JWST, HST, CFHT, and DECaLS, and simulations from the likes of TNG50.
I love building data pipelines, visualizing cosmic structures, and throwing machine learning at high-dimensional problems (sometimes it even works 😄). I'm most comfortable in Python, but I’ve also dabbled in C/C++, R, and a bit of Bash scripting.
- 🔭 Analyze multi-wavelength telescope data (UV to IR)
- 🤖 Apply ML for galaxy classification & modeling
- 🧪 Build reproducible analysis pipelines for large datasets
- 🧠 Explore simulations to understand galaxies
- 📈 Visualize complex data in clean, intuitive plots
Python | Astropy | APLpy | Scikit-learn | Matplotlib | CIGALE | Pandas | DS9 | Git | Jupyter | Ubuntu
- 💬 I’ve published in journals like ApJ, MNRAS, and A&A
- 🌏 Presented my work in Japan and Australia
- 🎮 When I’m not coding or stargazing, you’ll find me gaming, movie-watching, or geeking out over new tech
- 🌐 Website
- 🎓 Google Scholar
- 💻 GitHub
- ✉️ [email protected]
If you're into galaxies, data, and writing clean code — we should definitely chat 🚀
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