Python 3 (ipykernel)
Projects
Data science and ML work outside of jobs, in the order I'd suggest reading them. Each one is a quick read, and the code lives in the linked repos.
In [1]:
projects = pd.read_csv("data/projects.csv")
reading_list(projects)Out[1]:
- 1Open →
NBA Match Predictor
Scraped 6,000+ NBA games and engineered 200+ rolling features to predict game outcomes with XGBoost
- Scrapy
- pandas
- NumPy
- scikit-learn
- XGBoost
- 2Open →
SPL × UTSPAN 2026
Top-3 team: predicting where a free throw lands from 3D body pose alone
- PyTorch
- LightGBM
- NumPy
- pandas
- scikit-learn
- 3Open →
QBlock
XGBoost + BERT ensemble that flags phishing QR codes, 87% accuracy on 10,000+ websites. Built at Western Cyber Society
- Python
- XGBoost
- BERT
- 4Open →
Posture Detector
Real-time slouch detection from a webcam using YOLO11 pose estimation
- Python
- PyTorch
- OpenCV
- Ultralytics
- 5Open →
Driver Drowsiness Monitor
Webcam app that tracks eye closure and distraction and fuses them into one risk level. Presented at CUCAI 2026
- Python
- OpenCV
- MediaPipe
- YOLOv8
- NumPy