
Over a two-month period, contributed to the alexanderquispe/Diplomado_PUCP repository by developing educational resources and data workflows for Python learners. Delivered Jupyter Notebooks and Markdown content covering topics such as Pandas Series operations, control flow, and function definitions, enabling reproducible student practice and streamlined onboarding. Implemented Selenium-based web scraping scripts to extract job data from Bumeran, while managing API dependencies for future integrations. Focused on repository hygiene by removing obsolete scripts and large assets, reducing maintenance overhead. Demonstrated proficiency in Python, Pandas, and Selenium, with a methodical approach to content creation, code organization, and asset lifecycle management throughout the project.
September 2025 — Diplomado_PUCP performance summary (alexanderquispe/Diplomado_PUCP): Key features delivered: - Educational Materials and Assignment Resources: Added a Python functions notebook and implemented lifecycle management for group_06_assignment3_2025 materials (creation and cleanup). - Web Scraping for Bumeran: Introduced Selenium-based scraping scripts and updated API-related dependencies to enable data access and integration. Web Scraping Cleanup and Asset Hygiene: - Removed obsolete web scraping scripts and unused assets, including deletion of large artifacts (e.g., Diplomado_PUCP.zip), reducing maintenance burden and risk. Major bugs fixed: - No major bugs reported this month; focused on cleanup and feature stabilization tasks to prevent drift. Overall impact and accomplishments: - Strengthened learner resources with an ready-to-use notebook and assignment materials. - Enhanced data acquisition capabilities and API readiness for downstream integrations. - Reduced technical debt and repo noise, improving maintainability and collaboration for future sprints. Technologies/skills demonstrated: - Python notebooks for teaching resources and reproducibility - Selenium-based web scraping and data extraction - API dependency management and integration readiness - Git-based code hygiene, cleanup, and asset management
September 2025 — Diplomado_PUCP performance summary (alexanderquispe/Diplomado_PUCP): Key features delivered: - Educational Materials and Assignment Resources: Added a Python functions notebook and implemented lifecycle management for group_06_assignment3_2025 materials (creation and cleanup). - Web Scraping for Bumeran: Introduced Selenium-based scraping scripts and updated API-related dependencies to enable data access and integration. Web Scraping Cleanup and Asset Hygiene: - Removed obsolete web scraping scripts and unused assets, including deletion of large artifacts (e.g., Diplomado_PUCP.zip), reducing maintenance burden and risk. Major bugs fixed: - No major bugs reported this month; focused on cleanup and feature stabilization tasks to prevent drift. Overall impact and accomplishments: - Strengthened learner resources with an ready-to-use notebook and assignment materials. - Enhanced data acquisition capabilities and API readiness for downstream integrations. - Reduced technical debt and repo noise, improving maintainability and collaboration for future sprints. Technologies/skills demonstrated: - Python notebooks for teaching resources and reproducibility - Selenium-based web scraping and data extraction - API dependency management and integration readiness - Git-based code hygiene, cleanup, and asset management
Two feature deliveries in Diplomado_PUCP (Aug 2025): 1) Personal Content: Movies List Entry (Assignment 1) — a Markdown file listing three favorite movies with release years and synopses under Lecture_1/Assignment_1. 2) Pandas Series Tutorial: Assignment 1 Part 3 and Lecture 4 Notebook — Pandas Series tutorials and examples (mean, max, min, filtering, uppercase) for Assignment 1 Part 3, plus a Notebook for Lecture 4 covering conditionals and loops. No major bugs fixed this month. Business value: enriches course materials, accelerates student practice with reproducible examples, and improves onboarding and engagement. Technical achievements: structured Markdown content, Pandas data workflows, and comprehensive Jupyter Notebook exercises; clear, traceable commits.
Two feature deliveries in Diplomado_PUCP (Aug 2025): 1) Personal Content: Movies List Entry (Assignment 1) — a Markdown file listing three favorite movies with release years and synopses under Lecture_1/Assignment_1. 2) Pandas Series Tutorial: Assignment 1 Part 3 and Lecture 4 Notebook — Pandas Series tutorials and examples (mean, max, min, filtering, uppercase) for Assignment 1 Part 3, plus a Notebook for Lecture 4 covering conditionals and loops. No major bugs fixed this month. Business value: enriches course materials, accelerates student practice with reproducible examples, and improves onboarding and engagement. Technical achievements: structured Markdown content, Pandas data workflows, and comprehensive Jupyter Notebook exercises; clear, traceable commits.

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