jandisimgi/algo-study
Aug 2025 – Sep 2025
2 Months active
Languages Used
JavaMarkdown
Technical Skills
AlgorithmBacktrackingBreadth-First SearchData StructuresDocumentationGreedy Algorithm
YongHoon
PROFILE
Yonghoon
During two months contributing to the jandisimgi/algo-study repository, yy3082@naver.com developed nine Java-based features focused on algorithmic problem solving and code quality. Their work included delivery routing optimization using greedy algorithms, notification targeting systems, and competitive scoring strategies with breadth-first search, all designed to improve efficiency and scalability. They also implemented modules for lottery ranking, user ID normalization, and board game logic, emphasizing robust data handling and modular design. Throughout, they maintained clear documentation in Markdown to support developer onboarding. The depth of their engineering is reflected in the variety of algorithmic techniques and attention to maintainable code structure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
9
Lines of code
563
Activity Months2
Your Network
1008 people
Work History
September 2025
5 Commits • 5 Features
Sep 1, 2025September 2025 monthly summary for the jandisimgi/algo-study repo: delivered five Java-based features spanning lottery ranking, ID normalization, grid movement, and a board game solver, with accompanying README updates to improve developer onboarding and task visibility. No major bugs recorded; focus on robust data handling, modular design, and game logic simulations, driving business value through clearer rankings, consistent user IDs, and scalable gameplay mechanics.
5 Commits • 5 Features
Sep 1, 2025September 2025 monthly summary for the jandisimgi/algo-study repo: delivered five Java-based features spanning lottery ranking, ID normalization, grid movement, and a board game solver, with accompanying README updates to improve developer onboarding and task visibility. No major bugs recorded; focus on robust data handling, modular design, and game logic simulations, driving business value through clearer rankings, consistent user IDs, and scalable gameplay mechanics.
September 2025
August 2025
4 Commits • 4 Features
Aug 1, 2025August 2025 monthly summary for jandisimgi/algo-study: Delivered four major features across Java and BFS-based approaches, improving delivery routing efficiency, notification targeting, and competitive scoring strategy, along with documentation improvements. No explicit bug fixes documented this month; work focused on feature delivery and code quality. Business impact includes reduced total delivery distance, automated notification distribution, and scalable scoring optimization.
August 2025
4 Commits • 4 Features
Aug 1, 2025August 2025 monthly summary for jandisimgi/algo-study: Delivered four major features across Java and BFS-based approaches, improving delivery routing efficiency, notification targeting, and competitive scoring strategy, along with documentation improvements. No explicit bug fixes documented this month; work focused on feature delivery and code quality. Business impact includes reduced total delivery distance, automated notification distribution, and scalable scoring optimization.
Activity
Loading activity data...
Quality Metrics
Correctness84.4%
Maintainability84.4%
Architecture80.0%
Performance82.2%
AI Usage22.2%
Skills & Technologies
Programming Languages
JavaMarkdown
Technical Skills
AlgorithmBacktrackingBreadth-First SearchData StructuresDocumentationGreedy AlgorithmHashMapJavaJava DevelopmentString ManipulationString Tokenizer
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline