layout: archive title: “Portfolio” permalink: /portfolio/ author_profile: true
Below is a selection of my major projects in Data Science, Machine Learning, and Research. Each project highlights a combination of technical engineering and theoretical analysis.
Theoretical Analysis of CNNs for Automatic Seizure Detection in EEG Signals
Undergraduate Honors Thesis using PyTorch, SMOTE, and Lipschitz bounds to achieve 97% accuracy in seizure detection.
AI Driver Risk Scoring Platform
End-to-end Telematics platform using ML to score driver risk with a real-time Streamlit dashboard achieving 0.98 ROC-AUC.
E-Commerce Shopper Behavior Analysis
ML pipeline predicting purchase intent from 12,330 sessions using clustering, SMOTE, and ensemble methods achieving 0.93 AUC.
DataSci-Coder: Fine-Tuned LLM for Data Science
Fine-tuned Qwen2.5-Coder-14B via QLoRA on 10,795 curated DS examples. 93.3% instruction compliance vs 91.4% base. Published on HuggingFace.
Research Project
Active research project — details coming soon.