EXCEEDS logo
Exceeds
judithmarg-dev

PROFILE

Judithmarg-dev

Worked on the JU-DEV-Bootcamps/ERAS-FE and ERAS-BE repositories to deliver scalable student data analytics and reporting features. Developed end-to-end pagination and dynamic charting, enabling efficient navigation of large datasets and improved risk analytics. Enhanced the frontend with Angular and TypeScript, focusing on responsive UI, PDF export workflows, and robust CSV validation. On the backend, used C# and Entity Framework Core to optimize API contracts, data integrity, and risk alert systems. Prioritized maintainability through code refactoring, comprehensive testing, and cross-team alignment, resulting in stable, performant user experiences and streamlined workflows for data visualization, export, and cohort management.

Overall Statistics

Feature vs Bugs

49%Features

Repository Contributions

97Total
Bugs
25
Commits
97
Features
24
Lines of code
75,329
Activity Months3

Work History

April 2026

50 Commits • 13 Features

Apr 1, 2026

April 2026 monthly summary for JU-DEV-Bootcamps ERAS-FE and ERAS-BE. Focused on delivering business value through enhanced charting capabilities, robust UI interactions, export functionality, and improved performance. Key impact areas include improved data visibility in the frontend, scalable export workflows for reporting, and more stable user interactions across dynamic charts and side-panel layouts.

March 2026

40 Commits • 9 Features

Mar 1, 2026

March 2026: Delivered core frontend enhancements for user experience, data presentation, and performance, alongside backend improvements to data integrity, risk monitoring, and maintainability. Key initiatives spanned pagination and dynamic charts, expandable UI, robust CSV validation, and enhanced risk/alert handling, with strong testing coverage and refactors to reduce toil.

February 2026

7 Commits • 2 Features

Feb 1, 2026

February 2026 Monthly Summary – ERAS platform What we delivered (Key features): - Backend (ERAS-BE): Added end-to-end pagination for student data endpoints. Implemented pagination in GetStudentsByFilters, introduced CountStudentsByFilters, and applied pagination to cohort/top-risk student retrievals. Commits illustrating these changes include 286f6c3f8d41c40805091ec9bf25780af15e25dd, 472234ce53b7de3c0ce4cc4e1587cf502af42ecf, 11ff2fe98100ead64b5563d0802bb2964e701473, and 1ddfddcf7ccfa446f6dedf4f0794ed44f99f30fb. - Frontend (ERAS-FE): Implemented and harmonized pagination across student data views (studentsByFilters and top-risk views) to enable efficient data retrieval and navigable large datasets. Commits include c5682a89c3fcd60e32730dc8d96e8bd606b27abc, 708253fad9067dc99adfe240e90ebc2262be2a76, and 592f25ae4d4ea0eb00bf212dca5a359c904b98b8. Major bugs fixed (or mitigations): - FE pagination alignment: corrected page numbers to align with the main counts in top-risk-by-components views (FE commit 592f25ae4d4ea0eb00bf212dca5a359c904b98b8). - Data contract consistency: refactored GetStudentsByFilters return value to support pagination and consistent payloads (BE commit 472234ce53b7de3c0ce4cc4e1587cf502af42ecf). Overall impact and accomplishments: - Business value: Users experience faster, scalable access to student data, especially for large cohorts and risk-based views; improved server load distribution and faster page loads for analytics dashboards. - Technical outcomes: Standardized pagination across BE and FE, stable API contracts, improved data accuracy with CountStudentsByFilters, and a cohesive user experience for risk analytics. - Collaboration and process: Clear commit messages aligned with feature goals; cross-team integration between BE and FE resulted in a consistent pagination experience. Technologies and skills demonstrated: - Backend pagination patterns, query optimization, and API surface stability (ERAS-BE). - Frontend pagination UX, data views harmonization, and performance-conscious rendering (ERAS-FE). - Version control discipline, code reviews, and end-to-end verification of data counts and page navigation.

Activity

Loading activity data...

Quality Metrics

Correctness89.0%
Maintainability83.0%
Architecture83.0%
Performance82.6%
AI Usage26.8%

Skills & Technologies

Programming Languages

C#HTMLSCSSTypeScript

Technical Skills

API developmentAPI integrationASP.NET CoreAngularC#CSSCharting LibrariesComponent DesignEntity FrameworkEntity Framework CoreFeature Flag ManagementFront End DevelopmentLINQMediatRPDF generation

Repositories Contributed To

2 repos

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

JU-DEV-Bootcamps/ERAS-FE

Feb 2026 Apr 2026
3 Months active

Languages Used

HTMLTypeScriptSCSS

Technical Skills

API integrationAngularfront end developmentCSSComponent DesignFront End Development

JU-DEV-Bootcamps/ERAS-BE

Feb 2026 Apr 2026
3 Months active

Languages Used

C#

Technical Skills

API developmentC#Entity FrameworkLINQback end developmentbackend development