ksgeist/Merrimack_DSE6630
May 2025 – Jul 2025
3 Months active
Languages Used
MarkdownRHTMLText
Technical Skills
Data CleaningData VisualizationData WranglingDocumentationR MarkdownStatistical Analysis
Mike Steyer
PROFILE
Mike Steyer
Mike Steyer developed and enhanced data-driven features for the ksgeist/Merrimack_DSE6630 repository over a three-month period, focusing on public health analytics and interactive demonstrations. He refactored R and HTML code to improve data loading, cleaning, and visualization workflows, particularly for hospital readmission and epidemiology analyses. Mike finalized a Choose Your Own Adventure game UI, stabilized project structure, and implemented geospatial mapping with shapefile integration and metadata documentation. He also instrumented modules with performance metrics logging to support stakeholder demonstrations. His work demonstrated depth in R programming, data wrangling, and geospatial data handling, resulting in reproducible, well-documented, and demo-ready solutions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
5
Lines of code
29,235
Activity Months3
Your Network
12 peopleWork History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for ksgeist/Merrimack_DSE6630 focused on instrumentation and performance readiness. Delivered targeted performance metrics data logging for the module demonstration, enabling structured data collection and analysis to support performance reviews and demonstrations with stakeholders.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for ksgeist/Merrimack_DSE6630 focused on instrumentation and performance readiness. Delivered targeted performance metrics data logging for the module demonstration, enabling structured data collection and analysis to support performance reviews and demonstrations with stakeholders.
July 2025
June 2025
3 Commits • 2 Features
Jun 1, 2025June 2025 performance summary for ksgeist/Merrimack_DSE6630: Delivered the CYOA game UI finalization and a refined epidemiology data prep and mapping workflow. Focused on completing the UI, stabilizing the project structure, and enabling reproducible data preparation and GIS demonstrations with clear metadata documentation. No major defects reported; emphasis on delivering features, documentation, and stakeholder-ready demos.
June 2025
3 Commits • 2 Features
Jun 1, 2025June 2025 performance summary for ksgeist/Merrimack_DSE6630: Delivered the CYOA game UI finalization and a refined epidemiology data prep and mapping workflow. Focused on completing the UI, stabilizing the project structure, and enabling reproducible data preparation and GIS demonstrations with clear metadata documentation. No major defects reported; emphasis on delivering features, documentation, and stakeholder-ready demos.
May 2025
2 Commits • 2 Features
May 1, 2025Monthly summary for May 2025 (ksgeist/Merrimack_DSE6630). Key features delivered: Documentation Update: Team Membership Note; Demo 1 Updated: Data Analysis and Visualization with refactored data loading/cleaning and new analysis/visualization sections focusing on hospital readmission data. Major bugs fixed: None reported this month. Overall impact and accomplishments: Improved onboarding and reproducibility, clearer reporting capabilities for hospital readmission analyses, and a stable baseline with well-documented changes. Technologies/skills demonstrated: R Markdown, data loading/cleaning refactor, data analysis and visualization workflows, markdown documentation, and git-based change tracing.
2 Commits • 2 Features
May 1, 2025Monthly summary for May 2025 (ksgeist/Merrimack_DSE6630). Key features delivered: Documentation Update: Team Membership Note; Demo 1 Updated: Data Analysis and Visualization with refactored data loading/cleaning and new analysis/visualization sections focusing on hospital readmission data. Major bugs fixed: None reported this month. Overall impact and accomplishments: Improved onboarding and reproducibility, clearer reporting capabilities for hospital readmission analyses, and a stable baseline with well-documented changes. Technologies/skills demonstrated: R Markdown, data loading/cleaning refactor, data analysis and visualization workflows, markdown documentation, and git-based change tracing.
May 2025
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Quality Metrics
Correctness81.8%
Maintainability80.0%
Architecture80.0%
Performance71.6%
AI Usage33.4%
Skills & Technologies
Programming Languages
HTMLMarkdownRText
Technical Skills
Data AnalysisData CleaningData VisualizationData WranglingDocumentationFront End DevelopmentGeospatial Data HandlingPerformance MetricsR MarkdownR ProgrammingSpatial AnalysisStatistical AnalysisStatistical Modeling
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