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Sue-Susman

PROFILE

Sue-susman

Sue Susman contributed to the ksgeist/Merrimack_DSE6630 repository by developing and refining data preparation pipelines and analytics modules for healthcare datasets, including hospital readmission and pneumonia analysis. She applied R and Tidyverse to clean, merge, and transform raw data, enabling robust feature engineering and more interpretable visualizations. Her work included expanding exploratory data analysis in R Markdown, improving metadata and documentation, and reorganizing project files for better collaboration. By addressing data quality and repository hygiene, Sue reduced onboarding time and improved report accuracy, supporting transparent, data-driven decision-making for stakeholders. Her contributions demonstrated depth in data wrangling and statistical analysis.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

19Total
Bugs
1
Commits
19
Features
6
Lines of code
8,267
Activity Months2

Work History

June 2025

7 Commits • 3 Features

Jun 1, 2025

June 2025 performance summary for ksgeist/Merrimack_DSE6630: Delivered core data preparation and analytics enhancements that enable reliable pneumonia dataset analysis and clearer hospital readmission insights, while improving repository organization and documentation. These efforts reduce data wrangling time, improve report accuracy, and strengthen collaboration, accelerating data-driven decision-making and operational transparency for stakeholders.

May 2025

12 Commits • 3 Features

May 1, 2025

May 2025 monthly summary focusing on key accomplishments, business value, and technical achievements across ksgeist/Merrimack_DSE6630. Highlights include healthcare analytics data cleaning and prep for hospital readmission data enabling robust feature engineering and clearer demos; expanded metadata, objectives, and EDA coverage in Project_1.Rmd; team onboarding and documentation updates; and repository hygiene improvements to ignore temporary R data files. Technologies demonstrated include R, R Markdown, data wrangling/ETL, metadata design, exploratory data analysis, and Git governance. Overall impact: accelerated feature delivery, more transparent demonstrations for stakeholders, and improved collaboration and governance across the project.

Activity

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Quality Metrics

Correctness90.6%
Maintainability89.4%
Architecture84.2%
Performance79.4%
AI Usage24.2%

Skills & Technologies

Programming Languages

Git IgnoreMarkdownRR MarkdownRTF

Technical Skills

Code FormattingCode OrganizationData AnalysisData CleaningData MergingData PreprocessingData TransformationData VisualizationData WranglingDocumentationExploratory Data AnalysisFeature EngineeringFile ManagementFile Path ManagementFunction Development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

ksgeist/Merrimack_DSE6630

May 2025 Jun 2025
2 Months active

Languages Used

Git IgnoreMarkdownRR MarkdownRTF

Technical Skills

Code FormattingData AnalysisData CleaningData PreprocessingData TransformationData Visualization