iramler/slu_score_module_development
Apr 2025 – May 2025
2 Months active
Languages Used
CSVMarkdownRHTML
Technical Skills
Data AnalysisData CleaningData EngineeringData LoadingData PreprocessingData Visualization
jlars88
PROFILE
Jlars88
Worked on the iramler/slu_score_module_development repository to deliver three end-to-end features over two months, focusing on data-driven insights for powerlifting performance. Developed modules for powerlifting score analysis and age versus strength trends, applying data cleaning, quantile regression modeling, and gender-specific visualizations. Leveraged R and Quarto to process, analyze, and present data, producing both HTML and PowerPoint deliverables for stakeholders. Enhanced the data pipeline for repeatable analysis and improved documentation to support ongoing module integration. The work enabled clearer coaching insights and performance tracking by refining analytics and presentation, with a strong emphasis on statistical modeling and reproducible workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
3
Lines of code
112,327
Activity Months2
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Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for the developer role focusing on the iramler/slu_score_module_development project. Delivered the Age vs. Strength Analysis work stream, introducing an HTML page for age-related strength analysis and refining the R Markdown to improve the presentation of powerlifting data analysis. This work included data cleaning, visualization, and modeling of age-related strength performance trends, with a completion commit noted as 2d18cc983a39d59a95b1ffc1042ac1960090e2a8 (Final).
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for the developer role focusing on the iramler/slu_score_module_development project. Delivered the Age vs. Strength Analysis work stream, introducing an HTML page for age-related strength analysis and refining the R Markdown to improve the presentation of powerlifting data analysis. This work included data cleaning, visualization, and modeling of age-related strength performance trends, with a completion commit noted as 2d18cc983a39d59a95b1ffc1042ac1960090e2a8 (Final).
May 2025
April 2025
11 Commits • 2 Features
Apr 1, 2025April 2025 monthly performance for iramler/slu_score_module_development focused on delivering two end-to-end features, improving data processing and visualization capabilities, and stabilizing the data pipeline for repeatable insights.
April 2025
11 Commits • 2 Features
Apr 1, 2025April 2025 monthly performance for iramler/slu_score_module_development focused on delivering two end-to-end features, improving data processing and visualization capabilities, and stabilizing the data pipeline for repeatable insights.
Activity
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Quality Metrics
Correctness86.6%
Maintainability85.8%
Architecture84.2%
Performance80.0%
AI Usage23.2%
Skills & Technologies
Programming Languages
CSVHTMLMarkdownR
Technical Skills
Data AnalysisData CleaningData EngineeringData LoadingData PreprocessingData VisualizationDocumentationQuantile RegressionQuartoRR ProgrammingStatistical Modeling
Repositories Contributed To
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