Cleanse Customer Data Quality

I have a customer database suffering from three critical quality problems—missing values, duplicate records, and flat-out incorrect fields. I need an experienced data professional to diagnose the root causes, fix the existing errors, and set up preventive checks so the same issues do not creep back in.

The raw data is already exported to CSV and can be shared immediately. You are free to use the tools you know best—Python (pandas, NumPy, fuzzy-wuzzy), SQL, Power Query, Talend, OpenRefine, or even a combination—as long as the result is a clean, validated customer dataset ready for direct upload into our CRM.

Deliverables
• Cleaned customer data file in the original schema
• A concise log or script showing every transformation step for reproducibility
• Summary report that quantifies missing data filled, duplicates removed, and incorrect values corrected, plus any recommendations for ongoing validation rules

When you reply, focus on the relevant projects you have already completed that demonstrate your expertise dealing with customer-centric data quality challenges. I am ready to start as soon as I find the right fit.