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:Data Entry & Excel Data Cleaning
This project demonstrates a structured approach to transforming raw customer data into an accurate, consistent, and professionally formatted Excel spreadsheet.
The work involved data entry, duplicate identification and removal, data standardization, formatting, and quality verification. Customer names, phone numbers, city fields, email structures, and currency values were reviewed and standardized to improve consistency and readability.
The final dataset was organized into a clear, review-ready format, demonstrating attention to detail, accuracy, and efficient spreadsheet management using Microsoft Excel.
Key Skills Demonstrated:
•Data Entry & Organization
•Data Cleaning & Standardization
•Duplicate Record Identification
•Excel Formatting
•Sorting & Filtering
•Data Quality Control
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I work on Excel data analysis, data cleaning, interactive dashboards, Pivot Tables, and business reports. I turn raw data into clear, actionable insights that help businesses make smarter decisions.
I can create a professional sample excel business report/dashboard for you that includes
* Monthly sales analysis
* Revenue and profit
* Product performance
* Regional sales
* Monthly trend chart
Cleaned and standardized customer order dataset in Excel, including data validation, formatting, and consistency checks.
Well designed, and it caught attention the first time
OCR extracts business names, formation dates, and addresses from uploaded documents automatically. But users still need to trust what the system found before anything gets submitted.
We designed the confirmation flow around editable fields that surface extracted data clearly....
Editable confirmation fields is such a smart UX call. Trust is the hardest thing to build in OCR flows and surfacing extracted data clearly solves that well.