Payroll Automation Using Python | Automation Engineer

Saisree GR

0

Data Scraper

Automation Engineer

Data Analyst

Microsoft Excel

Python

TensorFlow

A trucking and distribution company wanted me to streamline its payroll process, reducing manual effort and minimizing errors in salary calculations, tax deductions, and attendance tracking. The goal was to develop a Python-based solution to automate these repetitive payroll tasks, ensuring accurate and timely payments for employees while enhancing overall efficiency.
Project Goals:
Automate salary calculations based on employee working hours, overtime, and applicable deductions.
Generate bi-weekly payslips for all employees.
Improve the accuracy and speed of payroll processing.
Project Deliverables:
Python-based payroll automation script: Developed a script to automate the payroll process, including salary calculation, tax deductions, and overtime handling.
Data integration: Linked the script with the company’s employee data, such as attendance records and salary information.
Payslip generation: Automatically generated detailed bi-weekly payslips for each employee, including gross salary, deductions, net pay, and other financial details.
Excel/CSV output: Produced the payroll results in structured Excel or CSV formats for easy auditing and reporting.
Automated email dispatch: Developed functionality to send payslips to employees via email.
Scheduled execution: Scheduled the script to run at specified intervals, syncing with bi-weekly payroll periods
Exception handling: Built-in error handling to flag issues, such as missing data or unusual discrepancies, for manual review.
Documentation: Provided comprehensive documentation for the code, including setup instructions, methodology, and troubleshooting steps.
Knowledge transfer: Trained the team on using and maintaining the automation, ensuring they could update the system as needed.
Ongoing support: Offered post-launch support to address any issues or incorporate additional features, such as handling bonuses or compliance changes.
Impact:
Reduced payroll processing time by eliminating manual calculations.
Improved accuracy, minimizing payroll errors and compliance issues.
Enhanced employee satisfaction through timely, accurate payments and transparent payslips.
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Posted Sep 22, 2024

Engineered automation of payroll process of trucking company to reduce manual effort and errors using python, thus improving employee satisfaction

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Clients

Pacific Coast Distribution

Tags

Data Scraper

Automation Engineer

Data Analyst

Microsoft Excel

Python

TensorFlow

Saisree GR

Data scientist | Data analyst | Data scraper (UBC, Canada)

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