Case study · HR & payroll operations
Python Automation for Fingerprint Attendance Reporting
A business was manually turning raw fingerprint-device punch data into attendance reports for HR and payroll — slow, error-prone work every cycle. We built a custom Python tool that automates the whole process and integrates with their ERP.
The challenge
- Raw fingerprint-device data had to be matched to employees by hand
- Work duration, overtime and daily-hours compliance were calculated manually
- Reports needed to be clean, per-employee and consistent every period
- The data had to line up with the company’s ERP records
What we did
- Built a Python tool (pandas + openpyxl) to process the raw attendance export
- Matched fingerprint IDs to employees and cleaned invalid rows automatically
- Calculated check-in/out, work duration, overtime and daily-hours compliance and status
- Generated a formatted, per-employee Excel report with clear styling
- Aligned the output with the company’s ERP (Odoo) employee records
The results
- Attendance reporting that used to take hours is now generated in minutes
- Accurate, consistent per-employee reports for HR and payroll
- Fewer errors and a clear audit trail each period
- Output that matches the company’s ERP records
Services used
Client details are anonymized to protect privacy. Figures are realistic and representative of the type of results we deliver.
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