alexanderquispe/Diplomado_PUCP
Aug 2025 – Sep 2025
2 Months active
Languages Used
CSVJSONJupyter NotebookMarkdownPythonRTF
Technical Skills
CollaborationData AnalysisData CleaningData EngineeringData ManipulationData Merging
AndreaCL2025
PROFILE
Andreacl2025
Contributed to the Diplomado_PUCP repository by developing and refining documentation, content organization, and Python-based Jupyter Notebook exercises over a two-month period. Focused on improving onboarding and maintainability, the work included updating Markdown files, enhancing data integrity, and cleaning repository artifacts. Delivered Python programming exercises with robust error handling, list manipulation, and statistical analysis functions, emphasizing reliability and automated evaluation readiness. Utilized technologies such as Python, Pandas, and Jupyter Notebook, while applying skills in data analysis, file management, and version control. The approach prioritized clear guidance for learners, stable repository hygiene, and traceable, well-documented code and content updates.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
60Total
Bugs
2
Commits
60
Features
10
Lines of code
3,840,167
Activity Months2
Your Network
89 peopleWork History
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for alexanderquispe/Diplomado_PUCP. Delivered a consolidated Jupyter Notebook with Python programming exercises featuring robust error handling and list statistics analysis. Implemented an analyze_numbers function to compute min, max, and mean, improved input validation via looping constructs, and refactored error-handling logic for reliability and maintainability. These changes enhance the learning workflow, reduce runtime errors, and prepare the notebook for automated evaluation.
3 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for alexanderquispe/Diplomado_PUCP. Delivered a consolidated Jupyter Notebook with Python programming exercises featuring robust error handling and list statistics analysis. Implemented an analyze_numbers function to compute min, max, and mean, improved input validation via looping constructs, and refactored error-handling logic for reliability and maintainability. These changes enhance the learning workflow, reduce runtime errors, and prepare the notebook for automated evaluation.
September 2025
August 2025
57 Commits • 9 Features
Aug 1, 2025August 2025 — Diplomado_PUCP monthly summary: Delivered structured documentation and content updates that improve onboarding, reference quality, and maintainability; strengthened repository hygiene and stability; and demonstrated strong collaboration and technical execution across multiple commits in Movies documentation, 1700 Assignment 1 docs, and related content. Emphasis on business value included clearer guidance for learners, improved content organization, and data/file integrity.
August 2025
57 Commits • 9 Features
Aug 1, 2025August 2025 — Diplomado_PUCP monthly summary: Delivered structured documentation and content updates that improve onboarding, reference quality, and maintainability; strengthened repository hygiene and stability; and demonstrated strong collaboration and technical execution across multiple commits in Movies documentation, 1700 Assignment 1 docs, and related content. Emphasis on business value included clearer guidance for learners, improved content organization, and data/file integrity.
Activity
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Quality Metrics
Correctness84.2%
Maintainability74.4%
Architecture51.6%
Performance56.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJSONJupyter NotebookMarkdownPythonRTF
Technical Skills
CollaborationData AnalysisData CleaningData EngineeringData ManipulationData MergingData StructuresDocumentationError HandlingFile ManagementFunction DefinitionFunctionsJupyter NotebookList ManipulationLooping Constructs
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline