ICEI-PUC-Minas-PPL-CDIA/ppl-cd-pcd-sist-int-2025-1-grupo2-disparidade-salarial-2025-1
Mar 2025 – May 2025
3 Months active
Languages Used
MarkdownCSVPython
Technical Skills
DocumentationColabData AnalysisData ManagementData VisualizationMatplotlib
rafaelhsbarbosa
PROFILE
Rafaelhsbarbosa
Rafael Barbosa contributed to the ICEI-PUC-Minas-PPL-CDIA/ppl-cd-pcd-sist-int-2025-1-grupo2-disparidade-salarial-2025-1 repository by developing features and analytics workflows focused on salary disparity analysis. He streamlined report documentation by removing obsolete fields, updated the data model to support programming language-specific salary analysis, and integrated the Edu Microdados dataset for end-to-end analytics. Using Python, Pandas, and Seaborn, Rafael built reproducible workflows for data upload, mapping, and visualization, while maintaining clear documentation and privacy compliance. His work improved data quality, reporting simplicity, and enabled scalable, privacy-aware analytics, demonstrating depth in data management and visualization within a collaborative environment.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
16Total
Bugs
2
Commits
16
Features
4
Lines of code
2,831
Activity Months3
Your Network
7 peopleSame Organization
@sga.pucminas.br2
Work History
May 2025
7 Commits • 2 Features
May 1, 2025May 2025 monthly summary focusing on key accomplishments for the ICEI-PUC-Minas project. Implemented end-to-end Edu Microdados Dataset Integration and Analytics Workflow and created scaffolding for data-oriented visualizations. Performed important maintenance updates to asset management and documentation to ensure reproducibility and scalability.
7 Commits • 2 Features
May 1, 2025May 2025 monthly summary focusing on key accomplishments for the ICEI-PUC-Minas project. Implemented end-to-end Edu Microdados Dataset Integration and Analytics Workflow and created scaffolding for data-oriented visualizations. Performed important maintenance updates to asset management and documentation to ensure reproducibility and scalability.
May 2025
April 2025
5 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for the disparity-salary analytics project. Key feature delivered: a data-oriented question on how programming language domains influence salary disparities, with updates to the data model and documentation to support language-specific attributes and salary ranges. Major bugs fixed: corrected a table entry in report documentation related to programming languages and removed the Gender field from reports to enhance privacy and simplify the documentation. Overall impact: improved data accuracy, governance, and business insights into compensation trends, enabling better decision-making in hiring, budgeting, and policy shaping. Technologies/skills demonstrated: data modeling, documentation and data governance, privacy-aware reporting, and version-controlled analytics development.
April 2025
5 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for the disparity-salary analytics project. Key feature delivered: a data-oriented question on how programming language domains influence salary disparities, with updates to the data model and documentation to support language-specific attributes and salary ranges. Major bugs fixed: corrected a table entry in report documentation related to programming languages and removed the Gender field from reports to enhance privacy and simplify the documentation. Overall impact: improved data accuracy, governance, and business insights into compensation trends, enabling better decision-making in hiring, budgeting, and policy shaping. Technologies/skills demonstrated: data modeling, documentation and data governance, privacy-aware reporting, and version-controlled analytics development.
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025 focused on streamlining the reporting schema by removing obsolete fields in the Empresa e Ambiente de Trabalho for the cited salary disparity project. The changes simplify data collection, reduce maintenance overhead, and improve downstream analytics without impacting required reporting data. No critical bugs were identified this month; the primary work was feature cleanup with clear traceability.
4 Commits • 1 Features
Mar 1, 2025March 2025 focused on streamlining the reporting schema by removing obsolete fields in the Empresa e Ambiente de Trabalho for the cited salary disparity project. The changes simplify data collection, reduce maintenance overhead, and improve downstream analytics without impacting required reporting data. No critical bugs were identified this month; the primary work was feature cleanup with clear traceability.
March 2025
Activity
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Quality Metrics
Correctness98.2%
Maintainability97.6%
Architecture97.6%
Performance97.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVMarkdownPython
Technical Skills
ColabData AnalysisData ManagementData VisualizationDocumentationMatplotlibPandasSeaborn
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