
Ferhin developed analytics-enabled sports modules and data infrastructure for the iramler/slu_score_module_development repository, delivering 27 features and resolving 5 bugs over two months. They engineered scalable modules for sports like pickleball, figure skating, and soccer, integrating advanced statistical analysis such as Two-Way ANOVA and nonlinear regression. Using R, JavaScript, and Quarto, Ferhin expanded data repositories, improved data wrangling pipelines, and enhanced documentation for onboarding and governance. Their work included CI workflow improvements, imagery support, and technical writing, resulting in robust, maintainable code. The depth of their contributions established a strong foundation for multi-sport analytics and streamlined data-driven decision-making.

July 2025 performance summary for iramler/slu_score_module_development: Delivered scalable, multi-sport analytics capabilities with a focus on pickleball results and data infrastructure. Key outcomes include enhanced pickleball analyses (confidence intervals and a two-proportion worksheet), expanded data repositories and modules for curling, derby, horse racing, climbing, paralympic, and general datasets, CI improvements, and updated documentation. These efforts improved analytical accuracy, data pipeline scalability, and team productivity, enabling faster, data-driven business decisions.
July 2025 performance summary for iramler/slu_score_module_development: Delivered scalable, multi-sport analytics capabilities with a focus on pickleball results and data infrastructure. Key outcomes include enhanced pickleball analyses (confidence intervals and a two-proportion worksheet), expanded data repositories and modules for curling, derby, horse racing, climbing, paralympic, and general datasets, CI improvements, and updated documentation. These efforts improved analytical accuracy, data pipeline scalability, and team productivity, enabling faster, data-driven business decisions.
June 2025 monthly summary for iramler/slu_score_module_development: Delivered a comprehensive set of features and infrastructure improvements, establishing a scalable foundation for analytics-enabled modules and improved data handling. The team completed end-to-end NLS upgrades, expanded analytics capabilities (Figure Skating and Two-Way ANOVA), finished Pickleball module with documentation, and advanced data repository and filesystem scaffolding. Ongoing maintenance and documentation enhancements improve onboarding and governance, while bug fixes stabilized core modules and repository hygiene.
June 2025 monthly summary for iramler/slu_score_module_development: Delivered a comprehensive set of features and infrastructure improvements, establishing a scalable foundation for analytics-enabled modules and improved data handling. The team completed end-to-end NLS upgrades, expanded analytics capabilities (Figure Skating and Two-Way ANOVA), finished Pickleball module with documentation, and advanced data repository and filesystem scaffolding. Ongoing maintenance and documentation enhancements improve onboarding and governance, while bug fixes stabilized core modules and repository hygiene.
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