ksgeist/Merrimack_DSE6630
May 2025 – Jul 2025
3 Months active
Languages Used
RR MarkdownSQL
Technical Skills
Data AnalysisData CleaningData ManipulationData PreprocessingData VisualizationData Wrangling
AlourdesJ
PROFILE
Alourdesj
Josepha contributed to the ksgeist/Merrimack_DSE6630 repository by developing and refining data analysis workflows for clinical and biomedical informatics, focusing on hospital readmission and RNA-seq data. She implemented robust pipelines in R and R Markdown, integrating spatial regression models, population data, and shapefiles to analyze regional health outcomes. Her work included advanced data preprocessing, feature engineering, and visualization, with attention to reproducibility and clear documentation. By enhancing metadata parsing, stabilizing analysis scripts, and improving reporting for stakeholders, Josepha delivered solutions that support predictive modeling and decision-making in healthcare analytics, demonstrating depth in data wrangling and statistical modeling.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
15Total
Bugs
1
Commits
15
Features
5
Lines of code
3,951
Activity Months3
Your Network
17 peopleWork History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 — ksgeist/Merrimack_DSE6630: Delivered targeted improvements to the RNA-seq analysis workflow and its visualizations, emphasizing reproducibility, clarity, and decision-support for stakeholders. This work focused on code quality, robust data processing, and transparent reporting.
1 Commits • 1 Features
Jul 1, 2025July 2025 — ksgeist/Merrimack_DSE6630: Delivered targeted improvements to the RNA-seq analysis workflow and its visualizations, emphasizing reproducibility, clarity, and decision-support for stakeholders. This work focused on code quality, robust data processing, and transparent reporting.
July 2025
June 2025
8 Commits • 3 Features
Jun 1, 2025June 2025: Delivered a robust spatial analytics workflow for Merrimack_DSE6630 to analyze regional hospital readmission drivers by integrating population data and shapefiles. Implemented end-to-end support for four spatial regression models (OLS, SAR, SEM, SDM) with data loading, preprocessing, model fitting, interpretation, and cross-model comparison. Strengthened data preprocessing with imputation and Box-Cox transformations, and deepened analysis of feature relationships including multicollinearity checks and correlations with the target variable. Improved project documentation with clearer shapefile explanations, cross-references, and readable R Markdown sections related to spatial analysis and data joins. Stabilized the workflow by addressing runtime messages and completing Q1-22 coverage (including Q20C), enhancing reproducibility and reliability.
June 2025
8 Commits • 3 Features
Jun 1, 2025June 2025: Delivered a robust spatial analytics workflow for Merrimack_DSE6630 to analyze regional hospital readmission drivers by integrating population data and shapefiles. Implemented end-to-end support for four spatial regression models (OLS, SAR, SEM, SDM) with data loading, preprocessing, model fitting, interpretation, and cross-model comparison. Strengthened data preprocessing with imputation and Box-Cox transformations, and deepened analysis of feature relationships including multicollinearity checks and correlations with the target variable. Improved project documentation with clearer shapefile explanations, cross-references, and readable R Markdown sections related to spatial analysis and data joins. Stabilized the workflow by addressing runtime messages and completing Q1-22 coverage (including Q20C), enhancing reproducibility and reliability.
May 2025
6 Commits • 1 Features
May 1, 2025Summary for 2025-05: In ksgeist/Merrimack_DSE6630, delivered a new pneumonia-focused analysis workflow and stabilized metadata parsing, strengthening the data-to-model pipeline for clinical informatics and hospital readmission risk assessment. The work enables reproducible analyses and faster insight generation for predictive modeling.
6 Commits • 1 Features
May 1, 2025Summary for 2025-05: In ksgeist/Merrimack_DSE6630, delivered a new pneumonia-focused analysis workflow and stabilized metadata parsing, strengthening the data-to-model pipeline for clinical informatics and hospital readmission risk assessment. The work enables reproducible analyses and faster insight generation for predictive modeling.
May 2025
Activity
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Quality Metrics
Correctness85.4%
Maintainability83.4%
Architecture82.0%
Performance74.0%
AI Usage37.4%
Skills & Technologies
Programming Languages
RR MarkdownSQL
Technical Skills
API IntegrationBioinformaticsData AnalysisData CleaningData InterpretationData ManipulationData PreprocessingData VisualizationData WranglingDocumentationExploratory Data AnalysisFeature EngineeringGeospatial AnalysisHealthcare AnalyticsMachine Learning
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