September 2025: Delivered Mpox clade-2b validation support in UKHSA-Internal/data-dashboard-api, including adding the mpox-clade-2b topic to the contact topics enum and implementing test cases for both successful and unsuccessful validation scenarios. Updated Mpox validation rules per CDD-2889 to align with the new topic and scenarios. This work improves data quality, reliability of the dashboard API, and confidence in downstream analytics.

August 2025: Delivered Subplot Chart Framework and API and completed Subplot Chart UX polish for the UKHSA-Internal/data-dashboard-api. Implemented an interface for generating subplot charts, refactored serializers and models for subplot data, introduced base and SubplotChartSettings, and updated the API view to return chart images for rendering. Enhancements to the UX include legend positioning, tick formatting, hover templates, annotation font size, and conditional y-axis range to improve readability and interactivity. While no major bugs were reported this month in the dataset, the work significantly expands chart capabilities and provides a scalable foundation for richer dashboards. Key achievements include enabling dynamic subplot chart rendering via API and delivering substantial UX improvements for subplot charts.

July 2025 monthly summary for UKHSA-Internal/data-dashboard-api focusing on business value delivery, cross-dashboard filtering capabilities, and extensible data-visualization APIs. The team delivered a set of features that enhance data exploration, filter precision, and the ability to represent complex visualizations in a scalable way, backed by updated tests and validation rules.

June 2025 (UKHSA-Internal/data-dashboard-api): Delivered key frontend-backend integration for CMS-driven dashboards and fixed critical risk categorization logic to enhance decision-making. The work focused on two main deliverables: (1) a new DualCategoryChartCard CMS component enabling multi-category charts with two categorical variables, including dynamic form field management, subcategories, and segment options with interactive state management; (2) corrected Weather Health Alerts (WHA) mapping logic to ensure accurate classification across impact and likelihood ranges (MEDIUM/HIGH and VERY_LOW/MEDIUM/HIGH). These changes collectively improve dashboard visualization capabilities, data accuracy, and maintainability, delivering tangible business value in public health monitoring. Key outcomes include: improved user-facing analytics capability for CMS blocks, reliable risk scoring for WHA, and enhanced traceability through Jira-linked commits.

May 2025 monthly summary for UKHSA Internal dashboards focused on delivering core data visualization capabilities, improving chart flexibility, clarifying heat risk messaging, and tightening access control. Key features delivered span API charting improvements and clearer risk descriptions, while fixes ensure correct network access for critical collaborators. Overall, these efforts improved dashboard reliability, maintainability, and security, delivering tangible business value to users and stakeholders.

April 2025 monthly summary for UKHSA-Internal/data-dashboard-api focusing on feature delivery and UI/data visualization improvements. Delivered two key features with measurable impact on chart readability, customization, and risk visibility for weather alerts. Maintained focus on code quality and traceability through explicit commit changes.

March 2025 monthly summary highlighting core API, UI/chart, validation, and infrastructure work across data-dashboard-api and data-dashboard-infra. Delivered feature refinements, expanded data validation, improved chart rendering and docs, and corrected access control configurations to strengthen reliability and business value.

February 2025 performance summary for UKHSA-Internal/data-dashboard-api: delivered key charting enhancements, expanded respiratory data validation, and CMS-driven chart configurability to improve dashboard accuracy, usability, and governance. The work enhances decision-making with more reliable time-series visuals and richer surveillance data.

January 2025 monthly summary: Focused on delivering robust data visualization features and flexible data ingestion for the UKHSA-Internal/data-dashboard-api, driving improved decision support and user experience for health dashboards. Delivered key features including standardized timeseries date filtering, y-axis range customization with non-integer support via DecimalField, manual date prefixes for charts/headlines, Plotly hover date formatting improvements, and expanded health metrics taxonomy with relaxed constraints. No major bugs fixed; minor stability tweaks were incorporated with migrations. Overall impact: more reliable analytics, more expressive visualizations, and a scalable data model to accommodate growing health data types. Technologies/skills demonstrated: Python/Django, DRF, database migrations, DecimalField refactor, Plotly integration, and data taxonomy design.

December 2024 monthly summary for UKHSA-Internal/data-dashboard-api focusing on security, data governance, and maintainability enhancements delivered across the audit and AMR-related features. The team shipped new capabilities, removed legacy code, hardened access controls, improved audit data retrieval, strengthened tests, and updated dependencies to improve stability and performance.

November 2024 highlights for UKHSA-Internal/data-dashboard-api: delivered a CMS refactor to standardize page models under UKHSAPage, removed deprecated fields, and aligned migrations for content-type consistency; introduced audit API endpoints for time series and headlines with enhanced tests and documentation; improved chart rendering with a fixed y-axis range and smoothing options, including necessary migrations; implemented site-wide unique slug validation to prevent routing conflicts; and fixed user-facing typos in cold alert text. These changes improve data reliability, developer experience, and business value by enabling safer migrations, richer auditing data, and more predictable chart behavior. Testing practices were strengthened with fake factories and updated tests plus documentation updates.