• Analyzed 2021-2023 NFL play-by-play data using Python (pandas, matplotlib, seaborn) to evaluate early-down playcalling strategies and identify trends in 3rd-down distance-to-go & conversion success rates across all 32 teams. • Conducted data preprocessing, statistical analysis, and data visualization to deliver actionable insights on team specific playcalling tendencies, optimizing offensive efficiency for professional-level decision-making.
This analysis uses the nfl_data_py library. nfl_data_py: https://github.com/cooperdff/nfl_data_py