alexanderquispe/Diplomado_PUCP
Aug 2025 – Sep 2025
2 Months active
Languages Used
MarkdownJSONPython
Technical Skills
DocumentationConditional LogicData AnalysisJupyter NotebooksPython Programming
sophiaruiz-28
PROFILE
Sophiaruiz-28
Sophia Ruiz contributed to the alexanderquispe/Diplomado_PUCP repository by developing two core features over two months, focusing on both documentation and educational content. She created and iteratively refined the Movies.md documentation, introducing a structured skeleton, a Favorites section, expanded synopses, and updated team details, all managed through disciplined Git versioning. In the following month, Sophia built a graded logic demonstration notebook using Python and Jupyter Notebooks, implementing conditional logic scenarios and extending test coverage for real-world grading cases. Her work improved onboarding, code clarity, and hands-on assessment capabilities, demonstrating depth in documentation, Python programming, and reproducible data analysis workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
2
Lines of code
497
Activity Months2
Your Network
89 people
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for alexanderquispe/Diplomado_PUCP focused on delivering a graded logic demonstration notebook with enhanced test coverage and reproducible evaluation flows. The work strengthens educational content, code quality, and testing practices for conditional logic in Python. No major bugs fixed this month; minor issues were tracked for future sprints. Overall impact includes improved hands-on assessment capabilities and clearer demonstration of grading scenarios that map to real-world decisions (e.g., scholarship eligibility, threshold checks, identity vs equality).
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for alexanderquispe/Diplomado_PUCP focused on delivering a graded logic demonstration notebook with enhanced test coverage and reproducible evaluation flows. The work strengthens educational content, code quality, and testing practices for conditional logic in Python. No major bugs fixed this month; minor issues were tracked for future sprints. Overall impact includes improved hands-on assessment capabilities and clearer demonstration of grading scenarios that map to real-world decisions (e.g., scholarship eligibility, threshold checks, identity vs equality).
September 2025
August 2025
12 Commits • 1 Features
Aug 1, 20252025-08 Monthly summary for alexanderquispe/Diplomado_PUCP. Delivered comprehensive Movies.md documentation updates including skeleton creation, a dedicated Favorites section, expanded synopses, formatting/typo corrections, and team roster updates. The work advanced through 12+ commits, starting from Create movies.md to final updates, with milestone #1700 'Added my favorite movies' representing the targeted feature. Business value: improved onboarding and contributor efficiency, clearer docs for future maintenance, reduced support time for documentation questions. Technologies/skills demonstrated: Markdown document design, Git-based versioning and history hygiene, iterative documentation refinement, and collaboration across the team.
August 2025
12 Commits • 1 Features
Aug 1, 20252025-08 Monthly summary for alexanderquispe/Diplomado_PUCP. Delivered comprehensive Movies.md documentation updates including skeleton creation, a dedicated Favorites section, expanded synopses, formatting/typo corrections, and team roster updates. The work advanced through 12+ commits, starting from Create movies.md to final updates, with milestone #1700 'Added my favorite movies' representing the targeted feature. Business value: improved onboarding and contributor efficiency, clearer docs for future maintenance, reduced support time for documentation questions. Technologies/skills demonstrated: Markdown document design, Git-based versioning and history hygiene, iterative documentation refinement, and collaboration across the team.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture78.6%
Performance78.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdownPython
Technical Skills
Conditional LogicData AnalysisDocumentationJupyter NotebooksPython Programming
Repositories Contributed To
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