alexanderquispe/Diplomado_PUCP
Aug 2025 – Sep 2025
2 Months active
Languages Used
JSONJupyter NotebookMarkdownPythonText
Technical Skills
Data AnalysisData StructuresData TypesDocumentationGitJupyter Notebook
Anibal-Daniel-Villanueva-Hinojosa
PROFILE
Anibal-daniel-villanueva-hinojosa
Daniel Villanueva developed and maintained data analysis workflows for the alexanderquispe/Diplomado_PUCP repository, focusing on onboarding and reproducibility for Group 10’s QLab assignments. He built assignment scaffolding, managed lifecycle updates for Jupyter notebooks, and implemented data ingestion pipelines using Python and Pandas. His work included refining documentation, cleaning obsolete files, and enhancing notebook-driven analytics to support production-like data pipelines. By standardizing data loading scripts and improving cross-notebook consistency, Daniel enabled faster analytics cycles and more reliable collaboration. The depth of his contributions is reflected in robust data validation, error handling, and version control best practices throughout the project’s evolution.
Overall Statistics
Feature vs Bugs
93%Features
Repository Contributions
66Total
Bugs
1
Commits
66
Features
13
Lines of code
134,320
Activity Months2
Your Network
89 people
Work History
September 2025
28 Commits • 4 Features
Sep 1, 2025September 2025 delivered foundational data ingestion and notebook enhancements for Diplomado PUCP, enabling reliable data onboarding and faster analytics for the 2025 cohort. Key features delivered include a Data Ingestion Setup for base and DB2 data, and substantial EVA2 notebook development with updates to group_10_2025_eva2 and g10-v1. Additional notebook work covered updates to Tarea3.ipynb and the Group 10 Assignment 3 notebook (2025-09 batch), driving reproducible analysis workflows and readiness for production-like data pipelines. Minor issues were addressed where observed, with no major bugs reported. Overall impact includes improved data availability, faster analytics cycles, and stronger collaboration through standardized notebooks. Technologies demonstrated include Python-based data ingestion scripts, Jupyter notebooks, Git-based version control, and notebook-driven analytics (EVA2, Tarea3, Group 10).
28 Commits • 4 Features
Sep 1, 2025September 2025 delivered foundational data ingestion and notebook enhancements for Diplomado PUCP, enabling reliable data onboarding and faster analytics for the 2025 cohort. Key features delivered include a Data Ingestion Setup for base and DB2 data, and substantial EVA2 notebook development with updates to group_10_2025_eva2 and g10-v1. Additional notebook work covered updates to Tarea3.ipynb and the Group 10 Assignment 3 notebook (2025-09 batch), driving reproducible analysis workflows and readiness for production-like data pipelines. Minor issues were addressed where observed, with no major bugs reported. Overall impact includes improved data availability, faster analytics cycles, and stronger collaboration through standardized notebooks. Technologies demonstrated include Python-based data ingestion scripts, Jupyter notebooks, Git-based version control, and notebook-driven analytics (EVA2, Tarea3, Group 10).
September 2025
August 2025
38 Commits • 9 Features
Aug 1, 2025During August 2025, delivered Group 10 QLab assignment setup for Diplomado PUCP with full scaffolding, group qlab, movies resources, and initial notebooks/docs to support the 2025-qlab assignment. Expanded and refined Movies content and documentation, including group 10 movie docs and Dani's notes, plus added Dani's Assignment 2 scripts for parts 3–5. Implemented Grupo 10 Notebook enhancements and lifecycle management (tarea1-parte2 updates, new grupo_10 notebook, and lifecycle maintenance). Added QLab EVA2 notebook support and updates to enable EVA2 workflow. Performed repository cleanup by removing obsolete files to improve clarity and reduce confusion. Overall, the work enhances onboarding, reproducibility, collaboration, and delivery of the QLab-based assignment with ready-to-run examples and robust documentation.
August 2025
38 Commits • 9 Features
Aug 1, 2025During August 2025, delivered Group 10 QLab assignment setup for Diplomado PUCP with full scaffolding, group qlab, movies resources, and initial notebooks/docs to support the 2025-qlab assignment. Expanded and refined Movies content and documentation, including group 10 movie docs and Dani's notes, plus added Dani's Assignment 2 scripts for parts 3–5. Implemented Grupo 10 Notebook enhancements and lifecycle management (tarea1-parte2 updates, new grupo_10 notebook, and lifecycle maintenance). Added QLab EVA2 notebook support and updates to enable EVA2 workflow. Performed repository cleanup by removing obsolete files to improve clarity and reduce confusion. Overall, the work enhances onboarding, reproducibility, collaboration, and delivery of the QLab-based assignment with ready-to-run examples and robust documentation.
Activity
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Quality Metrics
Correctness88.6%
Maintainability88.6%
Architecture80.4%
Performance82.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPythonText
Technical Skills
Conditional StatementsConfiguration ManagementControl FlowData AnalysisData CleaningData ManipulationData PreprocessingData StructuresData TypesData ValidationDocumentationError HandlingFunction DefinitionGitIPython Notebook
Repositories Contributed To
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