
Jessica Hoang developed and enhanced data-driven features for Hack4Impact-UMD/breastfeeding-center-gw and microsoft-hackathon-fall25 over four months, focusing on scalable backend and frontend solutions. She implemented robust CSV and XLSX ingestion using Node.js, Express, and Multer, enabling reliable client and appointment data imports with comprehensive validation and error handling. On the frontend, Jessica modernized data fetching with React, TanStack Query, and TypeScript, improving performance and maintainability. Her work included building appointment dashboards with trimester-based analytics, client-specific data navigation, and photo upload systems, resulting in improved user engagement, data reliability, and a foundation for future cloud-function and serverless integrations.

December 2025 monthly work summary for Hack4Impact-UMD/breastfeeding-center-gw: Focused on delivering data-driven Acuity dashboard enhancements, improving appointment data retrieval, error handling, and attendance analytics; implemented robust visualization across trimesters to support care planning and metrics-driven decision making.
December 2025 monthly work summary for Hack4Impact-UMD/breastfeeding-center-gw: Focused on delivering data-driven Acuity dashboard enhancements, improving appointment data retrieval, error handling, and attendance analytics; implemented robust visualization across trimesters to support care planning and metrics-driven decision making.
November 2025: Implemented two key features in Hack4Impact-UMD/breastfeeding-center-gw that improve client data access and appointment visibility, along with notable maintainability improvements. Delivered the Enhanced Client Journey with patient-ID data fetch, client-specific appointment retrieval, and a new data-fetch hook to enable direct navigation to individual client journeys; added UI and maintainability improvements to ClientListPage. Implemented Client-Specific Appointment Filtering and UI Update to reflect client-scoped data, with the appointments endpoint now taking a clientId. Performed targeted data population fixes (Jane consults table) and overall cleanup to reduce tech debt and improve maintainability.
November 2025: Implemented two key features in Hack4Impact-UMD/breastfeeding-center-gw that improve client data access and appointment visibility, along with notable maintainability improvements. Delivered the Enhanced Client Journey with patient-ID data fetch, client-specific appointment retrieval, and a new data-fetch hook to enable direct navigation to individual client journeys; added UI and maintainability improvements to ClientListPage. Implemented Client-Specific Appointment Filtering and UI Update to reflect client-scoped data, with the appointments endpoint now taking a clientId. Performed targeted data population fixes (Jane consults table) and overall cleanup to reduce tech debt and improve maintainability.
October 2025 monthly summary for Hack4Impact-UMD/breastfeeding-center-gw focusing on key deliverables, reliability, and business value from the files/CSV ingestion effort.
October 2025 monthly summary for Hack4Impact-UMD/breastfeeding-center-gw focusing on key deliverables, reliability, and business value from the files/CSV ingestion effort.
Month: 2025-09 – This monthly summary highlights feature delivery, data-layer modernization, and groundwork for future cloud-function routing across two Hack4Impact repositories. It emphasizes business value from improved user engagement, data reliability, performance, and maintainability.
Month: 2025-09 – This monthly summary highlights feature delivery, data-layer modernization, and groundwork for future cloud-function routing across two Hack4Impact repositories. It emphasizes business value from improved user engagement, data reliability, performance, and maintainability.
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