ksgeist/Merrimack_DSE6630
May 2026 – Jun 2026
2 Months active
Languages Used
MarkdownRHTML
Technical Skills
R programmingRMarkdowndata analysisdata cleaningdata visualizationdocumentation
Vicky Guo
PROFILE
Vicky Guo
Contributed to the ksgeist/Merrimack_DSE6630 repository by building modular scaffolding for a hospital readmissions data science module, enabling rapid prototyping and reproducible analytics in public health and epidemiology. Established robust data cleaning and exploratory analysis pipelines using R and tidyverse, while aligning project documentation and onboarding processes to support scalable team collaboration. Addressed repository integrity by reverting an unintended branch removal, ensuring stable version control. Enhanced maintainability by removing outdated COVID-19 analyses and clarifying project boundaries. Leveraged RMarkdown and data visualization to support patient advocacy objectives, demonstrating a disciplined approach to documentation, statistical modeling, and cross-team governance throughout the development cycle.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
4
Lines of code
195,858
Activity Months2
Your Network
18 peopleWork History
June 2026
3 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary focusing on delivering business value through public health analytics, improved maintainability, and a clear project scope. Delivered a reproducible data analysis setup for public health and epidemiology with pneumonia readmissions analysis, and pruned legacy analyses to reduce ongoing maintenance and debt.
3 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary focusing on delivering business value through public health analytics, improved maintainability, and a clear project scope. Delivered a reproducible data analysis setup for public health and epidemiology with pneumonia readmissions analysis, and pruned legacy analyses to reduce ongoing maintenance and debt.
June 2026
May 2026
6 Commits • 2 Features
May 1, 2026May 2026 performance summary for ksgeist/Merrimack_DSE6630. Key features delivered include scaffolding for the Hospital Readmissions Data Science Module with data cleaning, tidying, and basic analysis capabilities, enabling faster prototyping and experimentation. Additionally, onboarding scaffolding for Team Beta and alignment of project documentation with the main branch were established to improve collaboration and governance. A major bug fix restored repository integrity by reverting a change that removed a beta branch, ensuring a stable development state. Overall, these efforts accelerate readiness for hospital readmissions analytics and strengthen cross-team collaboration and governance. Technologies and skills demonstrated include Git-driven branching and version control discipline, modular data-science scaffolding, and structured onboarding/documentation practices for scalable team growth.
May 2026
6 Commits • 2 Features
May 1, 2026May 2026 performance summary for ksgeist/Merrimack_DSE6630. Key features delivered include scaffolding for the Hospital Readmissions Data Science Module with data cleaning, tidying, and basic analysis capabilities, enabling faster prototyping and experimentation. Additionally, onboarding scaffolding for Team Beta and alignment of project documentation with the main branch were established to improve collaboration and governance. A major bug fix restored repository integrity by reverting a change that removed a beta branch, ensuring a stable development state. Overall, these efforts accelerate readiness for hospital readmissions analytics and strengthen cross-team collaboration and governance. Technologies and skills demonstrated include Git-driven branching and version control discipline, modular data-science scaffolding, and structured onboarding/documentation practices for scalable team growth.
Activity
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Quality Metrics
Correctness95.6%
Maintainability93.4%
Architecture93.4%
Performance95.6%
AI Usage24.4%
Skills & Technologies
Programming Languages
HTMLMarkdownR
Technical Skills
GISR programmingRMarkdowndata analysisdata cleaningdata visualizationdocumentationepidemiologypublic healthreport generationstatistical modelingteam collaborationtidyverse
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