Customer Data Cleaning & Organization
Customer Data Cleaning & Organization

Before (Raw Data)

After (Cleaned Data)
Transformed raw customer data with inconsistent formatting into a clean, structured dataset. Standardized entries, corrected errors, and categorized customers to improve usability and analysis.
✔ Standardized formats (dates, currency, text)
✔ Added customer segmentation (VIP, Regular, New)
✔ Improved readability and filtering
E-commerce Product Data Management

Managed and organized product listing data by standardizing entries, maintaining accurate pricing and SKU details, and monitoring stock levels. Added stock status indicators to improve inventory tracking and decision-making.
✔ Organized product data (name, category, price, SKU)
✔ Ensured consistent formatting across all entries
✔ Added stock tracking for inventory awareness