Data Science student with a solid CS foundation, passionate about problem solving and building machine learning systems that balance strong engineering with solid theory.
Research project developed during my summer research at the University of Toronto, exploring CCA, correlation inflation, covariance tapering, and contrastive residual encoders.
Machine learning pipeline for detecting fraudulent credit card transactions using classification models, feature engineering, and performance evaluation techniques.
End-to-end prediction API for NYC taxi trip durations built with FastAPI and machine learning workflows.
- Data Structures & Algorithms
- Deep Learning, with a current focus on Hypergraph Neural Networks (HGNNs)
- LinkedIn: linkedin.com/in/b-4her
- LeetCode: leetcode.com/u/b-4her
NumPy Pandas Scikit-learn Seaborn Matplotlib SQLite Jupyter FastAPI