I will automate PDF table extraction and clean CSV data using python pandas
Python Data Cleaning and Automation
Over deze dienst
STOP wasting hours manually copying data!
Whether you are dealing with locked financial PDFs, messy CSV exports, or unformatted property records, manual entry destroys productivity and introduces human errors.
I engineer automated Python scripts that instantly extract, clean, and format your data into boardroom-ready Excel spreadsheets.
My Technical Stack & Expertise:
- PDF Table Extraction: Precision scraping using pdfplumber and Camelot to maintain exact row/column integrity.
- Pandas Data Cleaning: Advanced manipulation to merge files, drop duplicates, fix date formats, and parse messy strings via Regex.
- Executive Formatting: Using openpyxl, your final .xlsx files feature auto-adjusted column widths, bold headers, and custom styling.
The "Source Code" Advantage:
Unlike manual data entry clerks, I deliver the final data AND the exact Python (.py) script used to generate it. Run it yourself next month for free.
Strict Data Privacy:
All sensitive files are permanently wiped from my local machines 24 hours after order completion.
Message me before ordering with a sample file for a precise quote!
Technologie:
Excel
•
Google Sheets
•
Python
Mijn portfolio
Veelgestelde vragen
Do you sign NDAs or guarantee data privacy?
Yes. I work with sensitive real estate and financial data daily. All files are processed locally (not on cloud servers) and permanently deleted 24 hours after the final order is approved.
Do I get the Python code, or just the Excel file?
In the Standard and Premium packages, you receive the raw, commented Python script alongside your cleaned data. This means you own the automation tool and can reuse it for future files without paying me again.
What if my PDF is scanned or an image, not digital text?
Digital text PDFs (where you can highlight the text) are processed using Camelot/pdfplumber. If your PDF is a scanned image, message me first, I will need to deploy OCR (Optical Character Recognition) libraries, which requires a custom quote.
My file is larger than the Premium package limits. What now?
Python handles 10,000 pages almost as fast as 10 pages. My limits are based on structural complexity, not just page count. Message me for bulk processing and I will send a custom offer.
How will the final Excel file look?
It will be executive-ready. I use OpenPyXL to automatically freeze the top row, bold the headers, and expand column widths so the text is instantly readable without manual adjustment on your end.

