TonyKat007/Astral-trails
Jul 2025 – Jul 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationData VisualizationMatplotlibNumPyScientific ComputingStreamlit
Ssssshlok
PROFILE
Ssssshlok
During July 2025, Shlok worked on the Astral-trails repository, focusing on enhancing radiation risk modeling for space mission planning. He expanded the Radiation Risk Calculator to support additional shielding materials and dose attenuation factors, improving the accuracy of dose estimation. Using Python, NumPy, and Matplotlib, he refined Monte Carlo simulation visualizations, updating plot layouts and labels for clearer data interpretation. Shlok harmonized calculation and plotting logic within app.py, increasing code maintainability and consistency. His work demonstrated depth in scientific computing and UI development, directly supporting safer, data-driven mission planning through improved modeling and visualization of radiation exposure scenarios.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
2
Lines of code
156
Activity Months1
Your Network
17 peopleSame Organization
@iitk.ac.in6
Work History
July 2025
9 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for TonyKat007/Astral-trails focused on delivering enhanced radiation risk modeling and clearer visualization of Monte Carlo results. Key features implemented improved mission planning accuracy and data interpretability, with codebase improvements to app.py ensuring maintainability and consistency across calculations and plots. This period demonstrates strong Python engineering, data visualization, and domain modeling capabilities, with direct business value in safer, data-informed planning for space missions.
9 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for TonyKat007/Astral-trails focused on delivering enhanced radiation risk modeling and clearer visualization of Monte Carlo results. Key features implemented improved mission planning accuracy and data interpretability, with codebase improvements to app.py ensuring maintainability and consistency across calculations and plots. This period demonstrates strong Python engineering, data visualization, and domain modeling capabilities, with direct business value in safer, data-informed planning for space missions.
July 2025
Activity
Loading activity data...
Quality Metrics
Correctness91.0%
Maintainability91.0%
Architecture75.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationData VisualizationMatplotlibNumPyScientific ComputingStreamlitUI Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline