AutomationPERIOD: 2023 - 2024Polisul Indústria e Comércio de Embalagens, Curitiba, Brazil
Polisul Process Automation Suite
Internal Python Automation Engine for Industrial & Commercial Operations
Analyzed operational workflows across administrative routines at an industrial packaging manufacturing plant, engineering targeted Python tools to automate manual data crunching and report generation.
Manual ErrorsMinimized
DomainIndustrial Packaging
THE PROBLEM & CONTEXT
Repetitive manual data entry across internal spreadsheets and legacy operational systems led to human error, reporting delays, and staff burnout.
THE ARCHITECTURAL SOLUTION
Developed custom Python automation tools for automated parsing, validation, transformation, and document generation.
SYSTEM ARCHITECTURE & DESIGN HIGHLIGHTS
01File parsing and tabular data extraction pipelines
02Validation rules to detect anomalies in operational logs
03Automated summary report generator exporting ready-to-use executive reports
ENGINEERING CHALLENGES
- •Working with inconsistent legacy file formats produced by disparate departments.
- •Building scripts robust enough to handle unexpected missing fields without halting execution.
LESSONS & KEY TAKEAWAYS
- •Automation is highest leverage when preceded by thorough operational workflow mapping.
- •Pragmatic Python scripts often deliver immediate, high-value ROI compared to heavyweight software rewrites.
TECHNOLOGY STACK USED
PythonPandasAutomation ScriptsData ProcessingExcel / CSV Pipelines