I will clean messy attendance and payroll data and build an excel summary
About this Gig
Is your attendance or biometric data a mess, with duplicate punches, mixed time formats and blank entries, and payroll day coming close?
I clean it using Python (Pandas) and give you a simple Excel file your team can actually use.
WHAT YOU GET
- Clean data: duplicates removed, time formats fixed, blanks handled
- Change Log sheet: rows before/after, duplicates removed, blanks fixed
- Present / Absent / Late / Overtime counts per employee (Standard and Premium)
- 1-page Excel summary with department-wise totals (Standard and Premium)
- Works with CSV, XLS, XLSX and biometric machine exports
HOW IT WORKS
1. Message me with a small sample (10-20 rows, names can be hidden)
2. Tell me your rules: shift timing, late grace period, overtime rule
3. I confirm scope and price
4. You get the cleaned file + summary in 1-3 days
Big files (50,000+ rows) are fine. Your files are never shared and are deleted after delivery and your revision window.
Same format every month? Order again and I will re-process it quickly.
Not sure your file fits? Send a sample first and I will tell you honestly.
My Portfolio
FAQ
Q1: Do I need to know Python to use the final file?
Not at all! The Python script runs on my end to clean your heavy raw data. You will receive a clean, lightweight Excel file with an automated Summary Board that you can easily use with a simple "Refresh" click.
Q2: Will my raw payroll/attendance data be kept safe and confidential?
Yes, 100%. I follow strict data security protocols (NDA compliant). Your files are stored securely during processing and are permanently deleted immediately after the order is completed and approved.
Q3: What if my dataset has more than 50,000 rows?
No problem! Python can process datasets with hundreds of thousands of rows easily. Please send me a message in my inbox with your dataset size, and I will create a custom offer tailored to your exact requirements.
Q4: What formatting or cleanups can you perform on attendance data?
I handle duplicate removals, time-stamp standardization (12-hr to 24-hr/date formats), late-entry detection, overtime hour calculations, Present/Absent status tagging, and department-wise cost breakdowns.

