childhealthbiostatscore/CHCO-Code
Jul 2025 – Jul 2025
1 Month active
Languages Used
R
Technical Skills
Data AnalysisData VisualizationData WranglingR ProgrammingStatistical Modeling
jarpin90
PROFILE
Jarpin90
J.P. Cortes developed an end-to-end CKM Health Data Analysis and Progression Pipeline within the childhealthbiostatscore/CHCO-Code repository, establishing a robust workflow for integrating clinical, biomarker, echocardiogram, and quality-of-life datasets. Using R and leveraging skills in data wrangling and statistical modeling, J.P. designed data preparation and processing steps that enable comprehensive analysis and visualization. The pipeline supports automated reporting and lays the groundwork for CKM stage classification and progression analysis. By updating analysis documentation and visualizations, J.P. ensured reproducibility and clarity for stakeholders. The work demonstrates depth in cross-domain data integration and a methodical approach to health data analytics.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
1,164
Activity Months1
Your Network
159 people
Work History
July 2025
2 Commits • 1 Features
Jul 1, 2025Month: 2025-07 – Delivered an end-to-end CKM Health Data Analysis and Progression Pipeline within the CHCO-Code repository, establishing a robust foundation for CKM progression analysis and reporting. Implemented data integration across multiple data domains (clinical, biomarker, echocardiogram, and quality of life) and prepared the data for analysis, visualization, and reporting. This work enables cross-domain insights and automated storytelling for stakeholders.
2 Commits • 1 Features
Jul 1, 2025Month: 2025-07 – Delivered an end-to-end CKM Health Data Analysis and Progression Pipeline within the CHCO-Code repository, establishing a robust foundation for CKM progression analysis and reporting. Implemented data integration across multiple data domains (clinical, biomarker, echocardiogram, and quality of life) and prepared the data for analysis, visualization, and reporting. This work enables cross-domain insights and automated storytelling for stakeholders.
July 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture85.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
R
Technical Skills
Data AnalysisData VisualizationData WranglingR ProgrammingStatistical Modeling
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