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Organized and entered product data into a structured spreadsheet, ensuring accuracy and consistency across entries. Focused on clean formatting and fast turnaround.
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Self-Created Practice Project
I worked on a practice order dataset where multiple fields were combined in the raw data.
Work completed:
Separated and organized order information into individual columns
Structured Order ID, Date, Customer, City, Product, Quantity, Amount and Payment Mode
Improved the readability and organization of the spreadsheet
Prepared the dataset for easier sorting, filtering and further data processing
Tool: Microsoft Excel
Skills: Data Entry | Data Cleaning | Data Organization | Spreadsheet Formatting
This is a self-created practice project and not client work.
Data Entry & Spreadsheet Organization
I created and organized a sample spreadsheet by entering information accurately, formatting data, and keeping the information clear and easy to manage. This project demonstrates my attention to detail and ability to work with spreadsheets.
Sample project (fictional data): Inventory CSV reorder list. I used an existing local Python utility to read stock counts and flag items below a chosen threshold. The three-row sample produces two flagged items: brake pads and a chain. The package includes the script, example input/output, instructions and a ZIP. A customer version would start with their export and confirmed stock rules. This is a small file-automation demo, not a live inventory integration or paid client result.
