
Worked on the Public-Health-Scotland/list-localities-profiles repository, delivering four features over two months focused on enhancing data reporting and maintainability. Developed a refactored HSCP LTC reporting percentage calculation by directly joining LTC and population data, improving accuracy and transparency for HSCP-level metrics. Addressed configuration by removing proxy settings and harmonized data year alignment and date handling, ensuring consistency across datasets and supporting historical data integration. Enhanced documentation and reporting through R Markdown improvements and locality-based service map updates. Utilized R and R Markdown for data analysis, extraction, and visualization, emphasizing scalable, reliable analytics to support data-driven decision-making in public health.
March 2026 monthly summary for Public-Health-Scotland/list-localities-profiles: key features delivered, major fixes, and impact. Proxy configuration cleanup, data year alignment and date handling updates for 2025 with historical data coverage for unscheduled care; documentation/reporting enhancements; improved data integrity and reporting reliability; demonstrated data engineering and documentation skills to support scalable, accurate analytics.
March 2026 monthly summary for Public-Health-Scotland/list-localities-profiles: key features delivered, major fixes, and impact. Proxy configuration cleanup, data year alignment and date handling updates for 2025 with historical data coverage for unscheduled care; documentation/reporting enhancements; improved data integrity and reporting reliability; demonstrated data engineering and documentation skills to support scalable, accurate analytics.
April 2025 monthly summary for Public-Health-Scotland/list-localities-profiles: Implemented a robust HSCP LTC Reporting Percentage Calculation Refactor that directly joins LTC data with population data and computes the percentage, enhancing accuracy and transparency of HSCP-level LTC reporting. No major bugs reported this month; all work focused on data quality, maintainability, and enabling scalable reporting for HSCP planning.
April 2025 monthly summary for Public-Health-Scotland/list-localities-profiles: Implemented a robust HSCP LTC Reporting Percentage Calculation Refactor that directly joins LTC data with population data and computes the percentage, enhancing accuracy and transparency of HSCP-level LTC reporting. No major bugs reported this month; all work focused on data quality, maintainability, and enabling scalable reporting for HSCP planning.

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