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
Andrea Chavez contributed to the alexanderquispe/Diplomado_PUCP repository by developing structured documentation and Python-based Jupyter Notebook exercises that improved onboarding and learning workflows. She enhanced repository maintainability through organized content updates, metadata management, and removal of redundant files. Andrea implemented robust error handling and input validation using Python and Pandas, introducing functions for statistical analysis and data cleaning. Her work included batch updates to data files and incremental bug fixes, ensuring data integrity and repository stability. By focusing on collaboration and clear documentation, Andrea enabled faster learner onboarding and streamlined automated evaluation, demonstrating depth in data engineering and version control practices.
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 people
Work 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
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