Worked on the TheAlgorithms/Python repository to enhance the reliability of the covid_stats_via_xpath.py data collection script. Focused on improving error handling and fixing typos, the work targeted increased robustness and readability throughout the codebase. Leveraged Python programming and web scraping techniques, particularly with XPath, to ensure more stable data fetching and clearer logging. The improvements reduced failure rates in the covid statistics pipeline and minimized downstream incident reports. Demonstrated skills in debugging, error handling, and Git-based version control, aligning code changes with tracked issues. The work emphasized maintainability and contributed to a more dependable data collection workflow.