Worked on the ONSdigital/monthly-business-survey-results repository to enhance the reliability of the monthly turnover analysis pipeline. Addressed a specific issue where the input DataFrame could be missing the 'referencename' column, which previously caused runtime errors and interrupted analysis. Implemented a solution in Python using Pandas, programmatically adding the missing column as an empty string when absent, allowing the pipeline to process incomplete data without failure. Focused on data analysis and robust error handling, the work ensured that turnover analysis could proceed smoothly even with imperfect inputs. Maintained clear traceability by linking the fix to a documented issue and commit.