JoelvanIngen/Competitive-Green-Coding
Jun 2025 – Jun 2025
1 Month active
Languages Used
MarkdownPythonSQL
Technical Skills
API DevelopmentBackend DevelopmentDatabase DesignDatabase ManagementDatabase ModelingDatabase Schema Design
Feyenoord Rotterdam
PROFILE
Feyenoord Rotterdam
Feyeneuuuurd developed foundational backend features for the JoelvanIngen/Competitive-Green-Coding repository, focusing on robust data storage and user engagement analytics. Over the course of a month, they designed and implemented core database models and schema using Python, SQL, and SQLAlchemy, establishing reliable data integrity and scalability. Their work included building a leaderboard system that aggregates user performance metrics and exposes them through FastAPI endpoints, supporting real-time ranking and analytics. The technical approach emphasized maintainable ORM structures and clear documentation, with stabilization efforts to refine table schemas and API reliability. No critical bugs were reported, reflecting careful planning and execution.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
2
Lines of code
1,423
Activity Months1
Your Network
11 people
Work History
June 2025
7 Commits • 2 Features
Jun 1, 2025June 2025: Delivered foundational data storage and a functional leaderboard system for JoelvanIngen/Competitive-Green-Coding. Implemented core data model (ORM) and base tables with a readme skeleton to support growth; built a leaderboard with ranking data, aggregation queries, and API endpoints to expose user performance metrics. No critical bugs detected during this period; stabilization commits improved table schemas and API reliability. These changes establish data-driven capabilities for user engagement analytics and pave the way for scalable features.
7 Commits • 2 Features
Jun 1, 2025June 2025: Delivered foundational data storage and a functional leaderboard system for JoelvanIngen/Competitive-Green-Coding. Implemented core data model (ORM) and base tables with a readme skeleton to support growth; built a leaderboard with ranking data, aggregation queries, and API endpoints to expose user performance metrics. No critical bugs detected during this period; stabilization commits improved table schemas and API reliability. These changes establish data-driven capabilities for user engagement analytics and pave the way for scalable features.
June 2025
Activity
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Quality Metrics
Correctness73.0%
Maintainability71.4%
Architecture70.0%
Performance62.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonSQL
Technical Skills
API DevelopmentBackend DevelopmentDatabase DesignDatabase ManagementDatabase ModelingDatabase Schema DesignDocumentationFastAPIPydanticPythonSQLSQLAlchemy
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