AmarantosPagiavlas03/Project-Optimization-of-Business-Processes
Jan 2025 – Jan 2025
1 Month active
Languages Used
PythonSQL
Technical Skills
Data AnalysisDynamic ProgrammingLinear ProgrammingPandasPuLPPython
despkara
PROFILE
Despkara
During January 2025, Despina Karagiavla developed an automated nurse shift scheduling solution for the AmarantosPagiavlas03/Project-Optimization-of-Business-Processes repository. She built a Python script that applies dynamic and linear programming techniques using PuLP to minimize staffing costs while meeting nurse requirements, time windows, and shift constraints. The solution automates the assignment of tasks to shifts and exports the optimized schedule and associated weights to an Excel file for transparent review. Leveraging skills in Python, Pandas, and data analysis, Despina delivered a robust, end-to-end workflow that streamlines manual planning and establishes a scalable foundation for future scheduling automation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
85
Activity Months1
Your Network
6 people
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for AmarantosPagiavlas03/Project-Optimization-of-Business-Processes highlighting the delivery of an automated nurse shift scheduling solution. A new Python script (desp_opt.py) implements a dynamic programming/linear programming approach via PuLP to solve a cost-minimization problem, assigning tasks to shifts while respecting nurse requirements, time windows, and shift constraints. Results are persisted by exporting matching shifts and their weights to an Excel file, enabling transparent review and reporting. This work strengthens data-driven staffing decisions, reduces manual planning effort, and lays the groundwork for scalable scheduling across departments.
1 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for AmarantosPagiavlas03/Project-Optimization-of-Business-Processes highlighting the delivery of an automated nurse shift scheduling solution. A new Python script (desp_opt.py) implements a dynamic programming/linear programming approach via PuLP to solve a cost-minimization problem, assigning tasks to shifts while respecting nurse requirements, time windows, and shift constraints. Results are persisted by exporting matching shifts and their weights to an Excel file, enabling transparent review and reporting. This work strengthens data-driven staffing decisions, reduces manual planning effort, and lays the groundwork for scalable scheduling across departments.
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
Data AnalysisDynamic ProgrammingLinear ProgrammingPandasPuLPPython
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