
Developed an end-to-end CKM Health Data Analysis and Progression Pipeline within the CHCO-Code repository, establishing a comprehensive workflow for integrating clinical, biomarker, echocardiogram, and quality-of-life datasets. Leveraged R programming and statistical modeling to prepare, process, and analyze multi-domain health data, enabling automated reporting and cross-domain insights for stakeholders. The pipeline supports CKM stage classification and lays the groundwork for future progression analysis. Data wrangling and visualization techniques were applied to update analysis documentation and render integrated visualizations, ensuring reproducibility and clarity. This work provides a robust foundation for ongoing CKM health data analysis and reporting within the project.
Month: 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.
Month: 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.

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