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$
USD
I will clean and format CSV and excel data using python pandas
Ehsamuddin
About this gig
Messy CSV/Excel data slows your work down. Well clean and standardize your dataset using Python (pandas) so its ready for reporting, analysis, or upload. Youll get: (1) a cleaned CSV/Excel file, (2) a reusable .py script (if included in your package), and (3) a short summary of what was fixed. We can handle duplicates, missing values, wrong data types, inconsistent formats, date/number issues, extra spaces, and column cleanup. Please message first if your file is very large or complex
Get to know Ehsamuddin
Ehsamuddin
Python Developer for Web Scraping and Data Cleaning
- FromAfghanistan
- Member sinceFeb 2026
- Avg. response time1 hour
Languages
English, French, Turkish, German
Python developer specializing in web scraping, data automation, and custom scripts. I help businesses extract data from websites, clean spreadsheets, and automate repetitive tasks with clean Python code.
Need a custom script? I can build almost any Python script you need.
Services:
- Web scraping (CSV/Excel output)
- Data cleaning and processing
- Custom automation scripts
- API integration
- Telegram bots
- File management
- Any custom Python task
Message me before ordering and tell me what you need. I will tell you if I can build it.
My Portfolio
FAQ
Will my data be kept private?
Yes. We'll only use your files to complete your order and won't share them.
Can you handle large or multiple files?
Yes. Choose Standard/Premium, or add the Additional 50000 rows (or extra files) extra for larger datasets.
What's included in Basic vs Standard vs Premium?
Basic: quick clean of 1 file. Standard: advanced cleaning + custom pandas script. Premium: repeatable processing pipeline with validation checks and documentation.
Do I get the Python script in every package?
The reusable .py script is included in Standard and Premium. Basic includes the cleaned file (script optional only if selected in your package).
What do you need to start?
Your CSV/Excel file, row count, what’s “wrong” with the data, desired output format (CSV/XLSX), and any rules (date format, column names, duplicates criteria).
