You will get I will clean, format and organize your Excel or CSV data
Project details
Do you have messy Excel or CSV data? I will clean, organize, and structure your dataset by removing duplicates, fixing formatting errors, and preparing your data for analysis. You will receive a clean, professional, and easy-to-use file.
Data Entry Type
Data Cleansing, Document Conversion, Error DetectionData Entry Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$15
|
Standard
$35
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Number of Hours of Work | 1 | 2 | 3 |
Formatting & Clean Up | |||
Graph & Table Creation | - | - | - |
Optional add-ons
You can add these on the next page.
Extra fast delivery
+$15Frequently asked questions
About Alan
Excel & Power Query Expert | Data Cleaning & Automation for Industrial
Cuauhtemoc, Mexico - 7:56 pm local time
My background as a CNC machinist in the oil industry gives me a real understanding of industrial data: production orders, part specifications, quality control records. I don't just clean spreadsheets — I understand the business behind the numbers.
What I can do for your project:
Deep data cleaning: duplicates, inconsistent formats, empty fields
Date, currency, phone, and code standardization
Consolidation of multiple CSV or Excel files into a single master dataset
Automated templates with Power Query — update your data with one click
If your company runs on Excel and manual data processes are costing you time and errors, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Alan can start the project.
Delivery time starts when Alan receives requirements from you.
Alan works on your project following the steps below.
Revisions may occur after the delivery date.
Review the Data File
I will review your Excel or CSV file to understand the structure, issues, and required cleaning tasks.
Clean and Organize the Data
I will remove duplicates, fix formatting issues, organize columns, and standardize the dataset.