Education
- MSc Data Science for Decision Making, Maastricht University | 2025-2027
- GPA: 8.66/10 (Cum Laude)
- Thesis:
- Key courses: Mathematical Optimisation, Computational Statistics, Algorithms for Big Data, Advanced Natural Language Processing, Computer Vision
- BSc Physics and Mathematics, Bangalore University | 2021-2024
- CGPA: 9.6/10
Experience
- Statistics Netherlands (CBS) | February 2026 - August 2026
Projects
Automatic recommendations of preparatory math courses
Detailed article | YouTube demo
A website that delivers randomized math tests for each student and uses a custom algorithm to send personalized recommendations via email based on their results. This was a group project @ Maastricht University.
- Implemented recommendation algorithm based on custom priority scores
- Created no code-dashboard to help professors analyze all students results (.csv sent in email)
- Contributed to website creation, question generation logic, email delivery and overall debugging
Skills
Programming Languages
- Python, SQL, R, MATLAB
Frameworks and libraries
- NumPy, matplotlib, scikitlearn, PyTorch, OpenCV, LangGraph, HuggingFace
Machine Learning
- Supervised, Unsupervised, Deep Learning, Natural Language Processing, Computer Vision
Certificates
- Machine Learning Operations by Duke University
- HuggingFace AI Agents
- Probability by MIT (EdX)
- IELTS English C2
- CS50 Python
Technical bookshelf
- Introduction to Probability by Dimitri P. Bertsekas and John N. Tsitsiklis
- An Introduction to Statistical Learning with Applications in Python by Gareth James, Daniela Witten, Trevor Hastie Robert Tibshirani and Jonathan Taylor
- Designing Machine Learning Systems by Chip Huyen
- AI Engineering by Chip Huyen