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You will get Transform messy CSV data into clean, and formatted Excel reports


Project details
1. Dynamic Formatting: Your output isn't just data; it’s a client-ready report with auto-adjusted widths, frozen panes, and logic-based alignment.
2. Audit-Ready: Every run generates a detailed log file, providing full transparency on how your data was processed.
3. Scalability: Whether you have five files or five hundred, my automated pipeline handles the volume with consistent precision.
2. Audit-Ready: Every run generates a detailed log file, providing full transparency on how your data was processed.
3. Scalability: Whether you have five files or five hundred, my automated pipeline handles the volume with consistent precision.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$45
|
Advanced
$85
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | Unlimited |
About Muqaddas
Python Automation | CSV & Excel Data Cleaning and Reporting
Karachi, Pakistan - 9:11 pm local time
What I automate:
- Data Cleaning & Validation: Remove duplicates, standardize formats, fix inconsistencies across large datasets
- Excel/CSV Processing: Automated ETL pipelines using Pandas, OpenPyXL, and XlsxWriter for recurring reports
- Report Generation: Self-updating Excel dashboards and SQLite databases delivered on schedule
- Google Sheets Integration: API connections to sync external data sources automatically
Recent project: Built an end-to-end Python pipeline that automatically ingests CSV sales files, cleans and validates the data, and generates a formatted Excel report with charts , replacing a fully manual process with a single script that runs itself.
You get: Clean, documented Python code with setup instructions anyone can follow, plus 14-day support for tweaks.
Best fit for: Operations teams, analysts, and small businesses with recurring data tasks — weekly reports, imports, audits.
Not for: One-time data entry, web scraping, or ML/modeling projects.
Ready to reclaim your time? Attach your messiest file and describe your ideal output — I'll respond with a 2-sentence automation plan within 4 hours.
Steps for completing your project
After purchasing the project, send requirements so Muqaddas can start the project.
Delivery time starts when Muqaddas receives requirements from you.
Muqaddas works on your project following the steps below.
Revisions may occur after the delivery date.
Configuration & Environment Setup
I will configure the YAML settings to match your specific file structure and set up the automated logging system to track the data transformation process.
Data Cleaning & Normalization
The script will ingest your CSVs, standardize column headers, remove duplicates, and strip invalid characters from numeric and price fields

