Customer Data Cleaning for Small

Customer Data Cleaning for Small Businesses

I clean messy customer lists so your CRM, spreadsheet, or AI assistant works with accurate data, with no wrong numbers, no double messages, and no lost customers.

What I deliver for your business

✅ Duplicate detection, so the same customer is not listed twice and does not receive the same message twice ✅ Phone numbers standardized into one clean format, such as 08031234567, with spaces, dashes, and country-code variations removed ✅ Names and emails made consistent, with proper capital letters for names and lowercase for emails ✅ Incomplete or unclear entries marked as MISSING instead of guessed, so no false information enters your system ✅ A row-by-row check of the final list against the original, to make sure no real information was changed or deleted ✅ A short note telling you which duplicate was kept, what was missing, and what you need to confirm with your customers

Example of the work

Before: "chidi okafor, 0803 123 4567" and "CHIDI OKAFOR, +2348031234567" listed as two customers, plus an email ending in "@gmail" with no ".com" After: one entry, "Chidi Okafor, 08031234567", and the incomplete email marked MISSING for follow-up

Who this is for

Restaurants, salons, shops, schools, and clinics that keep customer or contact lists and want them ready for a CRM, WhatsApp messaging, or an AI assistant.

Skills Practiced • Data preprocessing and data cleaning • Duplicate detection • Standardizing phone numbers, names, and emails • Handling missing information without guessing • Checking work against the original data • Attention to detail

Tools Used • Claude (AI assistant) • Customer contact lists (names, phone numbers, emails)