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Spreadsheet Cleanup & Data Organization
This sample shows how messy spreadsheet data can be cleaned, organized, and made easier to use. The work includes standardizing columns, removing duplicate entries, correcting inconsistent formatting, and improving the layout so the information is easier to read, sort, filter, and review.
Tools used: Microsoft Excel, Google Sheets, data entry, data cleaning, and spreadsheet organization.
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Self-Created Practice Project
I worked on a practice hotel booking dataset where multiple data fields were combined into a single raw-data column.
Work completed:
Separated unstructured data into individual columns using Text to Columns
Organized Booking ID, Guest Name, City, Check-In Date, Check-Out Date, Number of Pax, Amount and Status
Improved the structure and readability of the spreadsheet
Prepared the dataset for easier filtering and further use
Tool: Microsoft Excel
Skills: Data Entry | Data Cleaning | Text to Columns | Data Organization | Spreadsheet Formatting
This is a self-created practice project and not client work
Data Entry: 500-Product Data Entry and Exel Cleanup for Online store.
Problem i solved: Online store product data scattered across invoices, WhatsApp messages and photos. Needed in one clean Exel sheet.
What i did
1. Entered 500 products: Name, SKU, Price, Description, Stock
2. Cleaned duplicates, Fixed spelling errors, Standardized formatting
3. Created dropdown filters, conditional formatting for low stock
4. Added formulas for total inventory value and profit margin.
100% accurate sheet delivered in 2 days. Client can now upload directly to Shopify.
I Created Microsoft Power BI Dashboard By using many of the Tools
🚀 Data Modelling
🧠 Data Visualization
🚀 Group By
🧠 Data Cleaning
