Project Goal

The goal of this project was to analyze the Atlanta Hawks as an emerging NBA team and evaluate potential roster and trade needs.

I aimed to simulate a real-world front office workflow by completing a full scouting report under a one-week deadline.

Project Execution

Built a full scouting report analyzing team structure, weaknesses, and potential trade targets

Transitioned data workflow from Excel to Python for cleaning, merging, and analysis

Designed and implemented advanced visualizations using Python (matplotlib) to improve clarity of insights

Developed player and team evaluation frameworks based on roster construction needs and statistical profiling

Organized and completed the full report under a self-imposed deadline to simulate professional constraints

Skills Developed

End-to-end basketball analytics workflow using Python (data cleaning, merging, analysis)

Advanced data visualization using matplotlib to communicate insights clearly SQL-based querying and dataset manipulation for player evaluation

Translating statistical analysis into actionable basketball insights

Structuring and delivering full scouting reports under time constraints

Improving communication of analytical reasoning (“show, don’t tell”)

Key Takeaways / Improvements for Next Report

Improve balance in SQL filtering to avoid over-weighting specific metrics (e.g., free throw emphasis early in analysis)

Broaden evaluation frameworks beyond single-need team analysis

Explore additional methods for identifying team weaknesses beyond league-relative comparisons

Continue improving clarity and readability without reducing analytical depth

Report