
Worked on the Project Optimization of Business Processes repository, developing Python scripts to generate realistic synthetic datasets for nursing tasks and shifts. Focused on refining shift generation logic to improve accuracy, including enhancements to duration calculations, break logic, and shift-type weighting. Updated the project’s structure by reorganizing files and strengthening test scaffolding to support future data-driven optimization. Leveraged skills in Python scripting, Pandas, and code refactoring to streamline data generation and ensure maintainability. The work emphasized clean code organization and robust testing, laying a foundation for scalable business process optimization and facilitating reliable Excel export and file management workflows.
January 2025 monthly summary for the Project Optimization of Business Processes repository. Focused on delivering realistic synthetic data for nursing tasks and shifts, improving the accuracy of shift generation, and strengthening project structure and test scaffolding to support future data-driven optimization work.
January 2025 monthly summary for the Project Optimization of Business Processes repository. Focused on delivering realistic synthetic data for nursing tasks and shifts, improving the accuracy of shift generation, and strengthening project structure and test scaffolding to support future data-driven optimization work.

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