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
Developed an automated nurse shift scheduling solution within the AmarantosPagiavlas03/Project-Optimization-of-Business-Processes repository, focusing on optimizing staff assignments to minimize costs while meeting nurse requirements and adhering to time windows and shift constraints. Leveraged Python and the PuLP library to implement a dynamic and linear programming approach, encapsulated in the desp_opt.py script. Incorporated Pandas for data handling and result export, enabling transparent review by saving optimized shift assignments and their weights to Excel. This work automated a previously manual process, supporting data-driven staffing decisions and establishing a scalable foundation for future scheduling enhancements across healthcare departments.
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 peopleShared Repositories
6
AmarantosPagiavlas2003Member
Amarantos PagiavlasMember
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EiriniMember
lxcomtzMember
marnikolaou8Member
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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