Worked on repository hygiene and foundational improvements for the d2cml-ai/Data-Science-Python project, focusing on standardizing metadata files to enhance maintainability. Addressed cross-platform consistency by updating .DS_Store files, which reduced unnecessary noise in version control diffs and streamlined future pull requests. This maintenance effort, implemented using Git and Python, aimed to create a cleaner and more predictable codebase, facilitating easier onboarding for new contributors. No user-facing features were released during this period, but the groundwork laid supports future development and release-readiness. The work demonstrated attention to detail in repository management and an understanding of collaborative software engineering practices.