You will get clean and well-organized Excel data from messy datasets
Project details
I provide professional data cleaning services using Microsoft Excel to transform messy and unstructured datasets into accurate, organized, and analysis-ready data. My approach focuses on identifying and fixing common data issues such as null values, duplicates, incorrect data types, unnecessary records, and inconsistent formatting.
What sets my project apart is my attention to detail, structured cleaning process, and focus on data accuracy. I also perform tasks like merging and splitting columns, formatting text, and creating new columns from existing data to improve data usability.
You will receive a clean, well-structured, and reliable Excel dataset that is ready for analysis, reporting, or further data processing.
What sets my project apart is my attention to detail, structured cleaning process, and focus on data accuracy. I also perform tasks like merging and splitting columns, formatting text, and creating new columns from existing data to improve data usability.
You will receive a clean, well-structured, and reliable Excel dataset that is ready for analysis, reporting, or further data processing.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$10
|
Standard
$20
|
Advanced
$30
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
For Large Dataset
(+ 1 Day)
+$35Frequently asked questions
About SHRIKANT
Data Cleaning Using Excel
Bodvad, India - 8:07 am local time
Completed multiple data cleaning projects on different datasets, ensuring accurate, structured, and analysis-ready data. Known for strong attention to detail, logical thinking, and the ability to transform raw data into clean and organized datasets.
Steps for completing your project
After purchasing the project, send requirements so SHRIKANT can start the project.
Delivery time starts when SHRIKANT receives requirements from you.
SHRIKANT works on your project following the steps below.
Revisions may occur after the delivery date.
Review the Dataset
Analyze the Excel file to understand the structure, columns, and data issues.
Identify Data Problems
Check for null values, duplicate records, incorrect data types, and unnecessary data.