This sample project demonstrates my ability to organize and structure detailed customer and order data in a format commonly used in retail and e-commerce environments. The dataset simulates real-world transaction records from a variety of customers across the U.S., and includes full purchase details, payment methods, and personalized order notes.

What This Dataset Includes:

• Customer Information: Full names, contact details (email, phone), addresses, and date of birth.

• Order Details: Purchase dates, item descriptions, quantities, prices, and total amounts.

• Payment Info: Method of payment (credit card or cash) and unique order numbers for tracking.

• Comments/Notes: Special requests such as gift wrapping, rush delivery, promotional discounts, and other customer-specific needs.

This sample mimics the kind of structured dataset you’d find in a point-of-sale (POS) system, CRM, or order management platform. It reflects how businesses track purchases, manage customer relationships, and fulfill orders efficiently.