BigData2025-Rev/p3
Jan 2025 – Feb 2025
2 Months active
Languages Used
PythonPower BI
Technical Skills
Data CleaningData EngineeringData TransformationETLPySparkBusiness Intelligence
Jaystar2323
PROFILE
Jaystar2323
Over a two-month period, contributed to the BigData2025-Rev/p3 repository by developing and refining a demographic data preparation and analytics pipeline. The work centered on building an Enhanced Demographic DataCleaner in PySpark and Python, introducing filtering, integer casting, and decade-based enrichment to improve data quality for downstream analytics. Outputs were standardized in CSV and ORC formats, with geodata logic simplified and descriptors added for reporting. Additionally, implemented majority/minority race trend analysis across 2000 and 2020 census data, producing CSV exports and a Power BI reporting asset. Project structure was reorganized to enhance maintainability and support reproducible business intelligence workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
3
Lines of code
315
Activity Months2
Your Network
16 peopleWork History
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 performance summary — BigData2025-Rev/p3: Delivered key demographic analytics features and a reporting-ready structure, with no critical bugs reported. Business value includes a repeatable CSV-based output of race trends (2000 vs 2020) and a Power BI reporting asset for stakeholder dashboards. The month also included a project reorganization to improve maintainability and future scalability.
5 Commits • 2 Features
Feb 1, 2025February 2025 performance summary — BigData2025-Rev/p3: Delivered key demographic analytics features and a reporting-ready structure, with no critical bugs reported. Business value includes a repeatable CSV-based output of race trends (2000 vs 2020) and a Power BI reporting asset for stakeholder dashboards. The month also included a project reorganization to improve maintainability and future scalability.
February 2025
January 2025
3 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for BigData2025-Rev/p3: Delivered a major upgrade to the Enhanced Demographic DataCleaner for Data Preparation and Geodata Handling. Key changes include filtering by summary levels, integer casting for population columns, decade-based year/geodata enrichment, standardization of column names, integration of cleaning methods into the main script, and outputs prepared in CSV and ORC formats. Simplified geodata logic and introduced descriptors like id and urban_rural for final selection. This work was implemented through three commits that improved demographic analysis methods, cleaned up data methods and main integration, and standardized naming.
January 2025
3 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for BigData2025-Rev/p3: Delivered a major upgrade to the Enhanced Demographic DataCleaner for Data Preparation and Geodata Handling. Key changes include filtering by summary levels, integer casting for population columns, decade-based year/geodata enrichment, standardization of column names, integration of cleaning methods into the main script, and outputs prepared in CSV and ORC formats. Simplified geodata logic and introduced descriptors like id and urban_rural for final selection. This work was implemented through three commits that improved demographic analysis methods, cleaned up data methods and main integration, and standardized naming.
Activity
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Quality Metrics
Correctness87.6%
Maintainability87.6%
Architecture87.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Power BIPython
Technical Skills
Business IntelligenceData AnalysisData CleaningData EngineeringData TransformationData VisualizationETLPySpark
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