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The deeper cut

Graduate and undergraduate projects — the analytical range behind the shipped work.

Graph-Based ML for Node Classification (GCN & GAT)CSE 881 · 2024Graph Convolutional & Attention Networks reaching 85.3% node-classification accuracy, with PCA-based preprocessing.
Movie Recommendation AlgorithmsCMSE 831 · 2023Compared KNN, collaborative filtering, SVD, matrix factorization, and more across 20M records.
ProxiFilm Picks — personalized recommenderCSE 482 · 2023A recommender blending user- and content-based approaches, built with JavaScript and Python.
Credit Score Modeling & ClassificationSTT 811 · 2023An EDA-to-model pipeline on 100K records — PCA, LDA, SVC, and a tuned XGBoost classifier.
Supplier Data Management (DRiV capstone)AESC 410 · 2023Benchmarked eight supplier-management platforms into a weighted compatibility score with sensitivity analysis.
An Invasive Species Study on SeverityCMSE 402 · 2022Data-visualization storytelling on species taxonomy, geographic clustering, and vectors of introduction.
Analysis of Voice & Hearing Lab (research assistant)MSU · 2019–2021Otoacoustic-emissions research; MATLAB ML for analysis; findings presented at ASA 2020.