During June 2025, Ohkot worked on the IBM/data-prep-kit repository, focusing on enhancing the robustness of the Code Quality Transformation Module. Using Python and leveraging skills in data engineering and error handling, Ohkot addressed a schema exception related to the top_two_words_percent metric by implementing stricter data-type validation and comprehensive empty-file handling. This approach improved the reliability of metric calculations and reduced downstream processing errors, directly supporting more accurate analytics and resilient data pipelines. All changes were consolidated into a single squash commit, ensuring clear traceability and streamlined code review. The work demonstrated careful attention to code quality and operational reliability.