3rd-year Applied Mathematics student at Hanoi, working at the intersection of mathematics and machine learning.
I care about understanding why algorithms work — not just running them. My background in applied math means I tend to think in terms of proofs, gradients, and geometric intuitions before reaching for a library.
Currently focused on:
- Supervised & unsupervised learning with
scikit-learn - Statistical modeling and probabilistic thinking
- Data storytelling with
matplotlib/seaborn - Exploring deep learning fundamentals
| Area | Tools |
|---|---|
| Languages | Python, LaTeX |
| ML / Data | NumPy, Pandas, scikit-learn, Matplotlib, Seaborn |
| Environment | Jupyter, Git, VS Code |
Hanoi, Vietnam 🇻🇳 · Open to research collaborations & internships
