ctc-uci/cch
Nov 2024 – Feb 2025
3 Months active
Languages Used
SQLJavaScriptTypeScript
Technical Skills
Database DesignSQLAPI IntegrationBackend DevelopmentDatabase QueryingFront End Development
Dommenick Lacuata
PROFILE
Dommenick Lacuata
Nicola Cuata developed foundational data and user interface features for the ctc-uci/cch repository over a three-month period, focusing on scalable backend and frontend solutions. She designed and implemented SQL schemas for tracking donations, front desk metrics, and applicant interview data, using SQL and TypeScript to ensure extensibility and traceability. On the frontend, Nicola enhanced the Client Interview Screening UI with React, introducing dynamic table headers, search, and server-side sorting to improve data discoverability and workflow efficiency. Her work established robust data models and interactive interfaces, supporting accurate reporting, analytics, and streamlined onboarding processes for the organization’s operational needs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
319
Activity Months3
Your Network
17 peopleWork History
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 — Monthly summary for ctc-uci/cch. Key feature delivery and bug fixes centered on the Client Interview Screening UI, with a data population fix, camelCase alignment, and enhancements to interactivity (dynamic table headers, search, and server-side sort). These changes improve data accuracy, UI responsiveness, and screening workflow efficiency, enabling faster, reliable decision-making for client interviews.
2 Commits • 1 Features
Feb 1, 2025February 2025 — Monthly summary for ctc-uci/cch. Key feature delivery and bug fixes centered on the Client Interview Screening UI, with a data population fix, camelCase alignment, and enhancements to interactivity (dynamic table headers, search, and server-side sort). These changes improve data accuracy, UI responsiveness, and screening workflow efficiency, enabling faster, reliable decision-making for client interviews.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025: Layed the data foundation for initial interview records in the ctc-uci/cch repo by delivering a robust SQL schema and establishing a traceable commit trail. This work enables scalable storage for applicant data and paves the way for analytics and onboarding workflows.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025: Layed the data foundation for initial interview records in the ctc-uci/cch repo by delivering a robust SQL schema and establishing a traceable commit trail. This work enables scalable storage for applicant data and paves the way for analytics and onboarding workflows.
November 2024
1 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on ctc-uci/cch development work and business value. Implemented three new SQL tables to support donations tracking and front desk metrics: costco_donations, food_donations, and front_desk_monthly. These tables establish columns and data types to store donation categories and monthly operational metrics, enabling standardized reporting and KPI tracking. The initial schema was committed under ec975088e5086b73566f581f4cb481c04a3be4b9 with the message 'Made Food and Front Desk Statistics Table', ensuring traceability. Overall impact: provides a scalable data model foundation for analytics, improving reporting accuracy, decision support, and extensibility for future features across the ctc-uci/cch repository.
1 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on ctc-uci/cch development work and business value. Implemented three new SQL tables to support donations tracking and front desk metrics: costco_donations, food_donations, and front_desk_monthly. These tables establish columns and data types to store donation categories and monthly operational metrics, enabling standardized reporting and KPI tracking. The initial schema was committed under ec975088e5086b73566f581f4cb481c04a3be4b9 with the message 'Made Food and Front Desk Statistics Table', ensuring traceability. Overall impact: provides a scalable data model foundation for analytics, improving reporting accuracy, decision support, and extensibility for future features across the ctc-uci/cch repository.
November 2024
Activity
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Quality Metrics
Correctness88.0%
Maintainability88.0%
Architecture88.0%
Performance88.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptSQLTypeScript
Technical Skills
API IntegrationBackend DevelopmentDatabase DesignDatabase QueryingFront End DevelopmentFrontend DevelopmentReactSQLTypeScript
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