I worked on cleaning a messy 2,000-row dataset containing inconsistent customer names, phone numbers, email addresses, dates, product names, and sales information. I focused on standardizing formats, removing unnecessary separators, identifying phone numbers with fewer than 10 digits, and flagging missing or suspicious values for review. My goal was to make the data more consistent, accurate, and organized while preserving the original records.