You will get a clean, fix, and format your CSV or Excel data for analysis
Project details
This project involves transforming messy or inconsistent data into a clean, reliable, and analysis-ready format. I correct datatypes, standardize dates and numbers, resolve missing or invalid entries, and ensure the final dataset is accurate and well-structured.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$25
|
Advanced
$35
|
|---|---|---|---|
| Delivery Time | 3 days | 2 days | 2 days |
Number of Revisions | 0 | 0 | 0 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $40About Brayden
Data Science & Analysis
Georgetown, United States - 2:12 am local time
- Cleaning messy Excel/CSV datasets
- Automating weekly/monthly reporting
- Writing efficient SQL queries
- Python scripting (pandas, automation, APIs)
My style is fast, reliable, and communicative — I deliver clean code, well-structured outputs, and clear explanations so you always know what’s happening with your data.
If you need your data transformed into something accurate and useful, I’d love to help.
Steps for completing your project
After purchasing the project, send requirements so Brayden can start the project.
Delivery time starts when Brayden receives requirements from you.
Brayden works on your project following the steps below.
Revisions may occur after the delivery date.
Import and Inspect the Raw Data
I load your CSV/Excel file into Python or Excel and check for structural issues, inconsistent formatting, missing values, and datatype problems.
Identify Cleaning Requirements
I analyze the dataset to determine which columns need datatype conversion, duplicate removal, formatting fixes, or standardization based on the issues found.