
Over three months, Alexander Quispe contributed to the alexanderquispe/Diplomado_PUCP repository by developing educational materials and improving repository maintainability. He created Jupyter Notebooks covering Python fundamentals such as data types and loop control statements, and produced documentation on Git workflows, supporting onboarding and assessment readiness. Alexander implemented data integration features by preprocessing, cleaning, and merging datasets using Pandas, enabling actionable analytics like average income segmentation by ESTRATO. He also focused on repository hygiene, removing macOS metadata and checkpoint artifacts to streamline collaboration. His work demonstrated practical application of Python, data analysis, and documentation skills, with attention to reproducibility and maintainability.

October 2025 monthly summary for alexanderquispe/Diplomado_PUCP: No new user-facing features were delivered this month. Primary work focused on repository hygiene and artifact cleanup to improve maintainability and reduce noise in diffs and builds. Key actions included removing stray macOS .DS_Store and a notebook checkpoint artifact, ensuring the repository reflects only functional files.
October 2025 monthly summary for alexanderquispe/Diplomado_PUCP: No new user-facing features were delivered this month. Primary work focused on repository hygiene and artifact cleanup to improve maintainability and reduce noise in diffs and builds. Key actions included removing stray macOS .DS_Store and a notebook checkpoint artifact, ensuring the repository reflects only functional files.
September 2025 highlights for alexanderquispe/Diplomado_PUCP: Delivered two core features advancing data analytics and educational resources. Data Integration and Analytics: Income by ESTRATO — implemented data preprocessing, cleaning and standardization, inner merge of Educación (Módulo 300) and Vivienda (200) datasets, and calculation of average income per ESTRATO, with commit 68a5b8d9d763edd583fab41e64e3e98d08d3dd27. Educational Jupyter Notebook: Loop control statements — created a Jupyter notebook illustrating Python loop control (pass, continue, break) with examples on numbers, strings, and terminating input, commit 2e0054241b1add2ecdb782ad1ce173b25a94f42f. No major bugs fixed this month. Business impact: provides actionable income segmentation by ESTRATO for reporting and decision-making; enhances learning materials and assessment readiness. Skills demonstrated: data preprocessing, data merging, cleaning/standardization, inner joins, Python/Jupyter, library installation, reproducible workflows.
September 2025 highlights for alexanderquispe/Diplomado_PUCP: Delivered two core features advancing data analytics and educational resources. Data Integration and Analytics: Income by ESTRATO — implemented data preprocessing, cleaning and standardization, inner merge of Educación (Módulo 300) and Vivienda (200) datasets, and calculation of average income per ESTRATO, with commit 68a5b8d9d763edd583fab41e64e3e98d08d3dd27. Educational Jupyter Notebook: Loop control statements — created a Jupyter notebook illustrating Python loop control (pass, continue, break) with examples on numbers, strings, and terminating input, commit 2e0054241b1add2ecdb782ad1ce173b25a94f42f. No major bugs fixed this month. Business impact: provides actionable income segmentation by ESTRATO for reporting and decision-making; enhances learning materials and assessment readiness. Skills demonstrated: data preprocessing, data merging, cleaning/standardization, inner joins, Python/Jupyter, library installation, reproducible workflows.
August 2025 monthly summary for alexanderquispe/Diplomado_PUCP: Consolidated Group 3 educational materials and cleaned up repository artifacts to improve maintainability and onboarding.
August 2025 monthly summary for alexanderquispe/Diplomado_PUCP: Consolidated Group 3 educational materials and cleaned up repository artifacts to improve maintainability and onboarding.
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