alexanderquispe/Diplomado_PUCP
Aug 2025 – Sep 2025
2 Months active
Languages Used
JSONJupyter NotebookMarkdownPythonRSQL
Technical Skills
Basic Programming ConceptsData AnalysisData ScienceData TypesEducationGit
MariaLesly
PROFILE
Marialesly
Contributed to the alexanderquispe/Diplomado_PUCP repository by developing and refining Python-based course materials focused on data analysis and programming fundamentals. Built and finalized assignment notebooks and lecture content using Jupyter Notebooks, leveraging Python, pandas, and NumPy to create hands-on exercises and solutions. Enhanced repository organization through systematic cleanup, metadata updates, and improved Git workflow documentation, supporting reproducibility and collaboration. Delivered a deployable suite of notebooks covering topics such as data loading, cleaning, merging, and loop constructs. The work emphasized maintainability and clarity, resulting in streamlined onboarding for learners and instructors while demonstrating disciplined use of version control and data science practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
3
Lines of code
17,460
Activity Months2
Your Network
108 peopleWork History
September 2025
10 Commits • 1 Features
Sep 1, 2025September 2025 achieved feature delivery and material readiness for Diplomado_PUCP. Delivered the Course Notebook Suite: Data Analysis and Python Loops (Lecture 2-3), including notebooks for lectures, assignments, and solutions, focused on pandas data analysis, data loading/cleaning/merging, basic statistics, and Python loop constructs across data structures. Performed maintenance cleanups such as folder creation, file renames, and metadata updates to support course materials and future reuse. The commit history shows steady iteration toward a stable release, with multiple commits culminating in a coherent, deployable package. Overall impact: improved course material readiness, streamlined instructor/student workflows, and demonstrated strong Python/pandas skills, Jupyter notebook discipline, and Git-based collaboration.
10 Commits • 1 Features
Sep 1, 2025September 2025 achieved feature delivery and material readiness for Diplomado_PUCP. Delivered the Course Notebook Suite: Data Analysis and Python Loops (Lecture 2-3), including notebooks for lectures, assignments, and solutions, focused on pandas data analysis, data loading/cleaning/merging, basic statistics, and Python loop constructs across data structures. Performed maintenance cleanups such as folder creation, file renames, and metadata updates to support course materials and future reuse. The commit history shows steady iteration toward a stable release, with multiple commits culminating in a coherent, deployable package. Overall impact: improved course material readiness, streamlined instructor/student workflows, and demonstrated strong Python/pandas skills, Jupyter notebook discipline, and Git-based collaboration.
September 2025
August 2025
7 Commits • 2 Features
Aug 1, 2025August 2025: Delivered significant course content updates for alexanderquispe/Diplomado_PUCP focused on Python Fundamentals. Finalized Assignment 1 with student contributions and hands-on exercises (NumPy/Pandas), and cleaned up notebook materials across lectures. Introduced clearer Git workflow explanations and improved content accuracy, while removing outdated notebooks to reduce technical debt. Result: enhanced learner experience, faster onboarding, and a maintainable, reproducible notebook suite.
August 2025
7 Commits • 2 Features
Aug 1, 2025August 2025: Delivered significant course content updates for alexanderquispe/Diplomado_PUCP focused on Python Fundamentals. Finalized Assignment 1 with student contributions and hands-on exercises (NumPy/Pandas), and cleaned up notebook materials across lectures. Introduced clearer Git workflow explanations and improved content accuracy, while removing outdated notebooks to reduce technical debt. Result: enhanced learner experience, faster onboarding, and a maintainable, reproducible notebook suite.
Activity
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Quality Metrics
Correctness84.8%
Maintainability84.8%
Architecture78.8%
Performance81.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPythonRSQL
Technical Skills
Basic Programming ConceptsConditional LogicConditional StatementsControl FlowData AnalysisData MergingData ScienceData TypesEducationFile ManagementGitJupyter NotebookJupyter NotebooksListsLooping Constructs
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