alexanderquispe/Diplomado_PUCP
Aug 2025 – Sep 2025
2 Months active
Languages Used
Jupyter NotebookMarkdownPythonHTMLText
Technical Skills
Content CreationControl FlowData AnalysisData StructuresNumPyPandas
sarisanchezr
PROFILE
Sarisanchezr
Alexander Quispe developed educational resources and data tools for the alexanderquispe/Diplomado_PUCP repository over two months, focusing on Python, Pandas, and Selenium. He created Jupyter Notebooks and Markdown content to support student onboarding, including tutorials on Pandas Series, control flow, and Python functions. Alexander implemented Selenium-based web scraping scripts for Bumeran job postings, integrating API dependencies to streamline data acquisition. He also managed assignment lifecycle tasks and maintained repository hygiene by removing obsolete scripts and large assets. His work emphasized reproducibility, maintainability, and clear documentation, providing structured, ready-to-use materials that improved both learner experience and codebase quality.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
16Total
Bugs
0
Commits
16
Features
5
Lines of code
6,537
Activity Months2
Your Network
62 people
Work History
September 2025
13 Commits • 3 Features
Sep 1, 2025September 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
13 Commits • 3 Features
Sep 1, 2025September 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
August 2025
3 Commits • 2 Features
Aug 1, 2025Two 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.
August 2025
3 Commits • 2 Features
Aug 1, 2025Two 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.
Activity
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Quality Metrics
Correctness86.8%
Maintainability86.8%
Architecture86.2%
Performance83.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
HTMLJupyter NotebookMarkdownPythonText
Technical Skills
API DevelopmentBeautifulSoupConditional LogicContent CreationControl FlowData AnalysisData StructuresDefault ParametersFunction DefinitionJupyter NotebooksNumPyPandasProgramming FundamentalsPythonPython Programming
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline