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
Over two months, the developer enhanced the tadamaen/DSA3101-Group-Project-Group-3 repository by building and refining a ThemePark simulation in Python. They implemented a gradual visitor entrance flow, smoothing initial spikes to improve forecast accuracy and operational planning. Their work included agent-based modeling, refactoring pathfinding with A* search, and introducing dynamic visitor behaviors such as hunger and shopping. Using Pandas and Matplotlib, they added analytics and visualization features to track wait times and visitor patterns. The developer also addressed bugs in ride selection logic and navigation, maintained documentation, and managed dependencies, demonstrating depth in simulation modeling and codebase maintainability.
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
73 people
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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