You will get Offline Python Utility for CSV / Excel Processing
Project details
I provide a custom offline Python script for processing CSV or Excel files
according to clearly defined rules.
The solution runs locally on your computer, without cloud services, APIs,
or external systems. It is designed for repeatable, deterministic data
processing and automation of routine Excel tasks.
This project is suitable for data cleaning, transformation, validation,
aggregation, and format conversion.
according to clearly defined rules.
The solution runs locally on your computer, without cloud services, APIs,
or external systems. It is designed for repeatable, deterministic data
processing and automation of routine Excel tasks.
This project is suitable for data cleaning, transformation, validation,
aggregation, and format conversion.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25About Ivan
Python Automation & Data Processing | Simple Scripts
Lviv, Ukraine - 3:41 am local time
I build simple, reliable scripts for Excel and CSV files: data cleaning, transformation, validation, and structured outputs. My focus is on practical automation that saves time and reduces manual work.
I work clearly and step-by-step, communicate honestly, and deliver solutions that are easy to use and maintain.
Typical tasks I handle:
– Python scripts for Excel / CSV
– Data cleaning and formatting
– Automation of repetitive workflows
– Simple reports and structured outputs
If you need a straightforward Python solution without over-engineering — I can help.
Steps for completing your project
After purchasing the project, send requirements so Ivan can start the project.
Delivery time starts when Ivan receives requirements from you.
Ivan works on your project following the steps below.
Revisions may occur after the delivery date.
1
Client purchases the project and uploads input CSV or Excel file(s) with a description of required processing rules.
2
Processing logic and expected output are confirmed. An offline Python script is implemented.