The project involved creating a script to process fuel data for a fleet of vehicles stored in Excel. The script automatically corrected erroneous records based on predefined business logic. Since the files contained thousands of records, doing this manually would have been extremely time-consuming. I used Python and Pandas to efficiently handle and clean the data.