I'm a data analyst with a passion for uncovering hidden insights, making hockey smarter, and turning raw data into real impact.
In this project, I analyzed NHL salary and performance data to find forwards who deliver elite impact for low cap hits β ideal trade or free agency targets.
I combined Points/$1M and xGF%/$1M into a custom Value Score and validated the approach by showing xGF% correlates strongly with team win% (RΒ² = 0.53).
β Complete with visualizations, code, and reproducible methods.
- Python (Pandas, NumPy, Matplotlib)
- Google Colab / Jupyter
- SQL (basic querying & filtering)
- GitHub (version control & collaboration)
- Notion (organization & documentation)