jandisimgi/algo-study
Aug 2025 – Sep 2025
2 Months active
Languages Used
JavaMarkdown
Technical Skills
AlgorithmBacktrackingBreadth-First SearchData StructuresDocumentationGreedy Algorithm
YongHoon
PROFILE
Yonghoon
Over a two-month period, contributed nine new features to the jandisimgi/algo-study repository, focusing on algorithmic problem-solving and robust Java development. Delivered solutions for delivery routing optimization, notification targeting, lottery ranking, and board game mechanics, employing techniques such as greedy algorithms, breadth-first search, and advanced string manipulation. Enhanced documentation to improve onboarding and task tracking, ensuring clarity for collaborators. The work emphasized modular design and scalable logic, addressing challenges like grid-based movement, user ID normalization, and competitive scoring. All features were implemented in Java and Markdown, with a strong emphasis on data structures and code quality, without recorded bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
9
Lines of code
563
Activity Months2
Your Network
1138 peopleWork 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
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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
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