ksgeist/Merrimack_DSE6630
May 2025 – Jun 2025
2 Months active
Languages Used
RMarkdown
Technical Skills
Data AnalysisData CleaningData MergingData PreprocessingData VisualizationDocumentation
stephgarofalo
PROFILE
Stephgarofalo
During two months on the ksgeist/Merrimack_DSE6630 repository, Garofalos developed analytics infrastructure and spatial modeling tools for healthcare data. He established reproducible R project scaffolding, implemented robust data loading and preprocessing pipelines, and addressed data access and binning issues to ensure reliable analysis. His work included pneumonia-focused data wrangling, feature engineering, and the design of modeling plans using OLS and Elastic Net. In June, he advanced spatial epidemiology analytics by building SAR, SEM, and SDM models to analyze pneumonia readmission patterns. Throughout, he emphasized documentation, reproducibility, and clarity, leveraging R, Tidyverse, and Markdown for transparent, maintainable workflows.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
11Total
Bugs
1
Commits
11
Features
5
Lines of code
6,717
Activity Months2
Your Network
17 peopleWork History
June 2025
3 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for ksgeist/Merrimack_DSE6630: Focused on delivering business-value through spatial epidemiology analytics and robust data pipelines. Key advancements include spatial regression modeling for pneumonia readmission, a robust data loading/preprocessing pipeline, and documentation enhancements to mortality analysis, enabling reproducibility, clearer interpretation, and faster insight generation for healthcare outcomes.
3 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for ksgeist/Merrimack_DSE6630: Focused on delivering business-value through spatial epidemiology analytics and robust data pipelines. Key advancements include spatial regression modeling for pneumonia readmission, a robust data loading/preprocessing pipeline, and documentation enhancements to mortality analysis, enabling reproducibility, clearer interpretation, and faster insight generation for healthcare outcomes.
June 2025
May 2025
8 Commits • 2 Features
May 1, 2025May 2025: Delivered essential scaffolding and environment setup for the Merrimack_DSE6630 R project, fixed a demo data path/binning issue to ensure reliable data access and NA handling, and completed Project 1 analytics preparation (documentation, pneumonia-focused data wrangling, feature engineering, and modeling plan). These efforts establish a reproducible analytics foundation, enable immediate demos, and set the stage for rapid experimentation and reliable results.
May 2025
8 Commits • 2 Features
May 1, 2025May 2025: Delivered essential scaffolding and environment setup for the Merrimack_DSE6630 R project, fixed a demo data path/binning issue to ensure reliable data access and NA handling, and completed Project 1 analytics preparation (documentation, pneumonia-focused data wrangling, feature engineering, and modeling plan). These efforts establish a reproducible analytics foundation, enable immediate demos, and set the stage for rapid experimentation and reliable results.
Activity
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Quality Metrics
Correctness89.0%
Maintainability85.6%
Architecture80.0%
Performance76.4%
AI Usage36.4%
Skills & Technologies
Programming Languages
MarkdownR
Technical Skills
Data AnalysisData CleaningData MergingData PreprocessingData VisualizationData WranglingDocumentationExploratory Data AnalysisExploratory Data Analysis (EDA)Feature EngineeringMachine LearningProject SetupR DevelopmentR ProgrammingSpatial Analysis
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