tadamaen/DSA3101-Group-Project-Group-3
Mar 2025 – Apr 2025
2 Months active
Languages Used
PythonCSVMarkdown
Technical Skills
Python ProgrammingSimulationAgent-Based ModelingAlgorithm ImplementationData AnalysisData Cleaning
wwwanting
PROFILE
Wwwanting
Worked on the tadamaen/DSA3101-Group-Project-Group-3 repository to enhance a ThemePark simulation, focusing on realism and operational accuracy. Developed a gradual visitor entrance flow using Python and agent-based modeling, smoothing initial spikes and improving forecast reliability. Expanded the Visitor class with dynamic behaviors such as hunger, shopping, and browsing, and refactored movement logic for more lifelike simulations. Improved pathfinding by implementing A* search and introduced analytics for ride wait times, visualized with Matplotlib and Plotly. Maintained code quality through documentation updates, dependency management, and data cleaning, ensuring the project remains robust, maintainable, and ready for further analytical development.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
19Total
Bugs
2
Commits
19
Features
5
Lines of code
60,674
Activity Months2
Your Network
81 peopleShared Repositories
11
Work History
April 2025
18 Commits • 4 Features
Apr 1, 2025In April 2025, the Tadamaen DSA3101 Group Project delivered targeted, value-driven improvements to park simulation capabilities, ride planning, and model maintenance. Key fixes and features enhanced user experience, improved accuracy of visitor behavior modeling, and strengthened the codebase for easier sustainment and analytics.
18 Commits • 4 Features
Apr 1, 2025In April 2025, the Tadamaen DSA3101 Group Project delivered targeted, value-driven improvements to park simulation capabilities, ride planning, and model maintenance. Key fixes and features enhanced user experience, improved accuracy of visitor behavior modeling, and strengthened the codebase for easier sustainment and analytics.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary: Focused on delivering a realism-first enhancement to the ThemePark simulation by smoothing the visitor entrance flow. Implemented a gradual entry pattern that reduces the initial spike from 80% to 20% and distributes visitors across the first four time steps, improving forecast accuracy and operational planning. All changes are tracked in a single commit, enabling clear traceability and rollback if needed.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary: Focused on delivering a realism-first enhancement to the ThemePark simulation by smoothing the visitor entrance flow. Implemented a gradual entry pattern that reduces the initial spike from 80% to 20% and distributes visitors across the first four time steps, improving forecast accuracy and operational planning. All changes are tracked in a single commit, enabling clear traceability and rollback if needed.
Activity
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Quality Metrics
Correctness92.6%
Maintainability93.6%
Architecture89.4%
Performance86.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVMarkdownPython
Technical Skills
Agent-Based ModelingAlgorithm ImplementationData AnalysisData CleaningData ManagementData VisualizationDependency ManagementDocumentationMatplotlibObject-Oriented ProgrammingPandasPlotlyProbabilistic ModelingPythonPython Programming
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