DATA COLLECTION

This work demonstrates my ability to manage, clean, and validate business data to ensure accuracy and usability.

Lead List Audit & Cleanup
I reviewed and organized a client lead database by checking each record for completeness and accuracy. This included:

• Identifying missing information such as email addresses, phone numbers, and dates

• Tagging records with clear status labels (e.g., Complete Data, No Email & No Date, Invalid Email, No Mobile Number)

• Standardizing formatting for consistency across all entries

Data Validation & Error Prevention
I implemented validation checks to maintain data quality and prevent future errors:

• Detected and flagged invalid email formats and incomplete entries

• Ensured proper formatting of phone numbers and dates

• Used color coding and status indicators to make errors easily visible

  
  

  

  
  

  Sales Accuracy Verification
  I validated the financial totals by:

  • Separating valid and invalid sales entries

  • Confirming the correct subtotal (294,600.00)

  • Accounting for invalid entries (7,500.00)

  • Verifying the final Total Amount (302,100.00) for reporting accuracy

  Result:
  The final dataset became clean, structured, and reliable, enabling accurate financial reporting and better decision-making.