Boef23/B09_WP4_5_Python
Nov 2024 – Dec 2024
2 Months active
Languages Used
Python
Technical Skills
Engineering CalculationsNumerical IntegrationPhysics SimulationPythonStructural AnalysisSymbolic Integration
staticVoidKaan
PROFILE
Staticvoidkaan
Kaan Ustun developed advanced structural analysis tools in the Boef23/B09_WP4_5_Python repository, focusing on engineering calculations and scientific computing using Python. He built a structural deflection analysis module that models load distributions such as lift and engine weight, applying both symbolic and numerical integration to automate deflection calculations. Kaan also implemented AWS Step Functions orchestration for scalable, distributed simulations. In a separate feature, he enhanced a column buckling analysis workflow by improving data preparation, integrating matplotlib-based visualization, and refining critical stress calculations. His work demonstrated depth in numerical computation, data handling, and reproducible engineering workflows, supporting design safety and traceability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
339
Activity Months2
Your Network
9 people
Work History
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 performance summary for Boef23/B09_WP4_5_Python. Delivered a major feature in the Column Buckling Analysis module, enhancing data preparation, visualization, and the calculation of critical stress. Implemented robust data preparation with a new values array, added matplotlib-based visualizations, refined the critical stress calculation, and produced proportional steps with clear MPa display alongside plots. This work improves design safety decisions, traceability, and developer productivity by consolidating data handling, visualization, and computation in a single, maintainable workflow.
2 Commits • 1 Features
Dec 1, 2024December 2024 performance summary for Boef23/B09_WP4_5_Python. Delivered a major feature in the Column Buckling Analysis module, enhancing data preparation, visualization, and the calculation of critical stress. Implemented robust data preparation with a new values array, added matplotlib-based visualizations, refined the critical stress calculation, and produced proportional steps with clear MPa display alongside plots. This work improves design safety decisions, traceability, and developer productivity by consolidating data handling, visualization, and computation in a single, maintainable workflow.
December 2024
November 2024
3 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on key features delivered, major fixes, impact, and technologies demonstrated.
November 2024
3 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on key features delivered, major fixes, impact, and technologies demonstrated.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture76.0%
Performance68.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data HandlingData VisualizationEngineering CalculationsNumerical AnalysisNumerical ComputationNumerical IntegrationPhysics SimulationPythonScientific ComputingStructural AnalysisSymbolic IntegrationSymbolic Mathematics
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