Chameleon-company/MOP-Code
May 2025 – May 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
API IntegrationData AnalysisData CleaningData ScienceData VisualizationData Wrangling
PJRyn
PROFILE
Pjryn
During May 2025, Ryan Peregrin focused on enhancing the Chameleon-company/MOP-Code repository by preparing data and reorganizing project structure for the Waste Efficiency Case Study. He integrated data from the Melbourne Open Data API, addressed missing values by reclassifying sensor readings, and merged datasets to ensure consistency. Using Python, Pandas, and Jupyter Notebook, Ryan standardized data source paths to improve reproducibility and streamlined the directory structure for easier collaboration. His work removed obsolete artifacts and clarified data provenance, accelerating the case study’s readiness for publication. The depth of his contributions improved both the maintainability and traceability of the project’s workflow.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
30,012
Activity Months1
Your Network
98 people
Work History
May 2025
4 Commits • 2 Features
May 1, 2025Monthly summary for 2025-05 focusing on Waste Efficiency Case Study work in Chameleon-company/MOP-Code. Delivered data preparation, API integration, data cleaning, and project reorganization to improve reproducibility and readiness for publish.
4 Commits • 2 Features
May 1, 2025Monthly summary for 2025-05 focusing on Waste Efficiency Case Study work in Chameleon-company/MOP-Code. Delivered data preparation, API integration, data cleaning, and project reorganization to improve reproducibility and readiness for publish.
May 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
API IntegrationData AnalysisData CleaningData ScienceData VisualizationData WranglingFile ManagementJupyter NotebookMatplotlibPandas
Repositories Contributed To
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