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Brendan Karadenes

PROFILE

Brendan Karadenes

Developed a data-driven player statistics analysis feature for the iramler/slu_score_module_development repository, focusing on PWHL performance trends by age and position. Leveraged Python, R, and Jupyter notebooks to create scripts and visualizations that identify ideal player profiles for maximizing points per game. Addressed a data reliability issue by fixing a hardcoded file path in the R script, ensuring consistent loading of the PWHL_Final.csv dataset across environments. Demonstrated skills in data analysis, data visualization, and version control, delivering reproducible workflows that support performance optimization and scouting decisions. The work reflects a methodical approach to both feature development and maintenance.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

2Total
Bugs
1
Commits
2
Features
1
Lines of code
877
Activity Months1

Work History

March 2025

2 Commits • 1 Features

Mar 1, 2025

March 2025 performance summary for iramler/slu_score_module_development: Delivered data-driven PWHL statistics analysis feature and fixed data loading path, enabling reliable, reproducible analyses to inform performance optimization and scouting decisions.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture70.0%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

MarkdownPythonR

Technical Skills

Data AnalysisData VisualizationPandasPlotninePythonRR ProgrammingSeabornTidyverse

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

iramler/slu_score_module_development

Mar 2025 Mar 2025
1 Month active

Languages Used

MarkdownPythonR

Technical Skills

Data AnalysisData VisualizationPandasPlotninePythonR