During October 2025, Gonzalo U. worked on the byu-cce270/content repository, focusing on refining Jupyter Notebook content to enhance maintainability and execution efficiency. He systematically refactored notebook cells by removing redundant Pandas calls such as .head(), .tail(), and .describe(), which reduced visual noise and streamlined data exploration workflows. Using Python and leveraging his data analysis skills, Gonzalo improved the readability and structure of the notebooks, making them easier to maintain and execute. All changes were thoroughly documented and committed for traceability. The work demonstrated careful attention to code quality, though it was limited in scope to a single feature.