alexanderquispe/Diplomado_PUCP
Aug 2025 – Oct 2025
3 Months active
Languages Used
Jupyter NotebookPythonHTMLJavaScript
Technical Skills
Data AnalysisData ManipulationDocument GenerationJupyter NotebookPandasPython Scripting
Alexander Quispe
PROFILE
Alexander Quispe
Alexander Quispe developed a series of data-driven features for the alexanderquispe/Diplomado_PUCP repository, focusing on geospatial analysis and automated reporting over a three-month period. He built Jupyter notebooks in Python to process, analyze, and visualize datasets, including district-level COVID-19 heatmaps, historical election data scraping, and precipitation analysis for Peru. Leveraging Pandas, GeoPandas, and Folium, Alexander implemented workflows for data ingestion, preprocessing, and export to formats like Word and PNG, supporting reproducible research and reporting. His work demonstrated depth in geospatial data manipulation and visualization, with robust, well-documented code that enabled repeatable analyses and streamlined data science workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
5
Lines of code
39,151
Activity Months3
Your Network
41 peopleSame Organization
@pucp.pe1
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Delivered a new Peru District-Level Precipitation Tutorial: an end-to-end raster workflow to analyze monthly precipitation by Peru's districts, including visualization, clipping rasters to district boundaries, computing district-averaged precipitation, and map-based results with basic statistical context. Notebook is prepared for zonal statistics (zonal_stats) and ready for re-execution to support repeatable analyses. Commits to production: 6414bf0c690200b99b73e7933d39a81c0335724b (update raster tutorial); a9fdf21a38acb8f0c779392a61e0186f69756a60 (update code). No major bugs reported this month; minor refinements were applied as part of the feature updates.
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Delivered a new Peru District-Level Precipitation Tutorial: an end-to-end raster workflow to analyze monthly precipitation by Peru's districts, including visualization, clipping rasters to district boundaries, computing district-averaged precipitation, and map-based results with basic statistical context. Notebook is prepared for zonal statistics (zonal_stats) and ready for re-execution to support repeatable analyses. Commits to production: 6414bf0c690200b99b73e7933d39a81c0335724b (update raster tutorial); a9fdf21a38acb8f0c779392a61e0186f69756a60 (update code). No major bugs reported this month; minor refinements were applied as part of the feature updates.
October 2025
September 2025
5 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for alexanderquispe/Diplomado_PUCP: Delivered three primary features with measurable business value across health analytics, election data automation, and geographic visualization. No explicit major bug fixes documented this month; the focus was on feature delivery and code quality improvements to support robust, repeatable analyses. Technologies demonstrated include Python, Folium, Geopandas, Chromedriver-based web scraping, and Jupyter notebooks, reinforcing data science workflow maturity and reproducibility.
September 2025
5 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for alexanderquispe/Diplomado_PUCP: Delivered three primary features with measurable business value across health analytics, election data automation, and geographic visualization. No explicit major bug fixes documented this month; the focus was on feature delivery and code quality improvements to support robust, repeatable analyses. Technologies demonstrated include Python, Folium, Geopandas, Chromedriver-based web scraping, and Jupyter notebooks, reinforcing data science workflow maturity and reproducibility.
August 2025
2 Commits • 1 Features
Aug 1, 2025Delivered an automated data analysis notebook setup with preprocessing and reporting for the Diplomado_PUCP project. Implemented data loading from CSV, column renaming, filtering to South American countries, sorting, and basic analytics (averages, handling missing values). Added end-to-end export of analysis results to a Word document (.docx) from a pandas DataFrame to support reporting.
2 Commits • 1 Features
Aug 1, 2025Delivered an automated data analysis notebook setup with preprocessing and reporting for the Diplomado_PUCP project. Implemented data loading from CSV, column renaming, filtering to South American countries, sorting, and basic analytics (averages, handling missing values). Added end-to-end export of analysis results to a Word document (.docx) from a pandas DataFrame to support reporting.
August 2025
Activity
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Quality Metrics
Correctness68.8%
Maintainability68.8%
Architecture62.2%
Performance62.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
HTMLJavaScriptJupyter NotebookPython
Technical Skills
Data AnalysisData ManipulationData VisualizationDocument GenerationFoliumGeoPandasGeopandasGeospatial AnalysisJupyter NotebookLeaflet.jsMatplotlibPandasPythonPython ScriptingRaster Data Processing
Repositories Contributed To
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