Education

  • MSc Data Science for Decision Making, Maastricht University | 2025-2027
    • GPA: 8.5/10 (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
    • Improved prediction accuracy of bio-diversity assessment from RGB aerial images in the Netherlands
    • Managed the full data science lifecycle; data collection, preprocessing, feature engineering, and experiment evaluation
    • Fine-tuning foundational models and building custom datasets
    • Creating new data augmentation techniques for earth observability

Hackathons

  • Veed.io | GenAI and Video Hackathon | Demo

  • Maastricht University | Supernova buildathon | Demo
    • A note taking platform where students get real-time feedback based on course materials and teachers understand student comprehension
    • Built RAG pipelines for checking notes based on provided context in DataStax
  • Prosus | AI University Games Hackathon | Demo
    • An AI Agent personal assistant that schedules tasks and manages conflicts from natural language voice input and email
    • Built Google Calendar integration tool and Gmail notification scheduler agent

Projects

Charismatic leadership tactics assessment

Detailed article

  • Created explainable features using various Deep Learning techniques on multi-modal data, and made explainable predictions using Decision Trees on 77 data points
  • Responsible for data pre-processing, label generation, gaze tracking, speech processing and correlation analysis

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, geopandas

Machine Learning

  • Supervised, Unsupervised, Self-supervised, Deep Learning, Natural Language Processing, Computer Vision

Certificates

Technical bookshelf