Impact of team stats on game outcome (NHL)

Kaggle notebook that uses stats from NHL games to provide insight into how these stats can impact win percentage.

Offensive Football Statistics Dive

This project uses a Jupyter Notebook to pull and clean NFL data from Pro Football Reference. The data is then visualized using Plotly scatter plots. Graphs are not interactive in GitHub.

Credit Card Approval Prediction

Kaggle notebook that uses applicant data to create a model used to predict if a customer should be approved for a credit card

Yu-Gi-Oh Card Recognition System

Built a one-shot learning model using CLIP embeddings, OCR fusion, and hard negative mining to achieve high Top 1/Top 5 accuracy on a dataset containing over ten thousand Yu-Gi-Oh! cards.

League of Legends Scorigami

Created a League of Legends analytics project inspired by the NFL's Scorigami concept, tracking unique professional match results across major leagues. Features a twitter account that tweets after a game how common the score was.