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Ryan Duffy

PROFILE

Ryan Duffy

Ryan Duffy enhanced the Public-Health-Scotland/list-localities-profiles repository by automating data pipelines, improving map visualizations, and strengthening reporting reliability. He implemented recursive CSV-to-RDS conversion using R and R Markdown, centralizing data outputs and reducing manual intervention. Ryan refactored map generation to unify legends and fixed legend overlap bugs, leveraging plotting libraries for clearer analytics. He introduced automated testing scripts and robust file path handling, improving maintainability and data quality. His work included cleaning obsolete logic, updating extraction years, and stabilizing reporting outputs. These contributions deepened the repository’s automation, data integrity, and visualization clarity, supporting more reliable public health analytics.

Overall Statistics

Feature vs Bugs

78%Features

Repository Contributions

17Total
Bugs
2
Commits
17
Features
7
Lines of code
261
Activity Months4

Work History

April 2025

2 Commits

Apr 1, 2025

April 2025 monthly summary for Public-Health-Scotland/list-localities-profiles: delivered a targeted bug fix to improve reporting accuracy in R Markdown outputs; enhanced trust in locality-profile dashboards and markdown tests; demonstrated strong collaboration via Git commits.

January 2025

4 Commits • 1 Features

Jan 1, 2025

January 2025 monthly summary for Public-Health-Scotland/list-localities-profiles: Focused on data processing and reporting quality improvements to strengthen data reliability and decision-ready outputs across the repository. Delivered a cleanup and enhancement of the data extraction and reporting pipeline, removed obsolete loading logic, updated extraction year, cleaned report text, adjusted formatting, and added patchwork to support enhanced plotting. This work stabilized the data pipeline, reduced technical debt, and prepared the project for more robust analytics.

December 2024

9 Commits • 4 Features

Dec 1, 2024

Monthly summary for 2024-12: Delivered robust visualization and reporting improvements for Public-Health-Scotland/list-localities-profiles, with a focus on business value, maintainability, and automation. Key outcomes include split-map generation with unified legends, bug fixes to improve legend reliability, automated testing infrastructure, and strengthened report formatting and path handling.

November 2024

2 Commits • 2 Features

Nov 1, 2024

November 2024 monthly summary for Public-Health-Scotland/list-localities-profiles: delivered two key features focusing on data pipeline reliability and map interpretability. Implemented an automated recursive CSV-to-RDS conversion that scans all CSV files across nested folders, converts them to RDS, and saves to the main data directory for the year, eliminating the separate load/save function. Added a legend title 'Service Type' on the service map to clarify color semantics, improving end-user interpretability. These changes reduce manual steps, minimize errors, and provide a foundation for reliable year-over-year data refreshes. Technologies demonstrated include RDS serialization, recursive file processing, and map visualization enhancements; core skills include data engineering, version control, and data visualization. Overall business impact: faster, more accurate data refresh cycles, clearer analytics outputs, and stronger governance of yearly datasets.

Activity

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Quality Metrics

Correctness91.2%
Maintainability90.6%
Architecture87.6%
Performance88.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

RR Markdown

Technical Skills

Data AnalysisData CleaningData ManipulationData ProcessingData ReportingData VisualizationData WranglingDocumentationFile ManagementPlotting LibrariesRR MarkdownR ProgrammingR ScriptingScripting

Repositories Contributed To

1 repo

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

Public-Health-Scotland/list-localities-profiles

Nov 2024 Apr 2025
4 Months active

Languages Used

RR Markdown

Technical Skills

Data ProcessingData VisualizationFile ManagementRR ScriptingData Analysis

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