ssafy16codingteststudy/1st_algorithm
Feb 2025 – May 2025
4 Months active
Languages Used
JavaSQL
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithmsBreadth-First SearchBreadth-First Search (BFS)Code Commenting
JSY
PROFILE
Jsy
Over four months, contributed to the ssafy16codingteststudy/1st_algorithm repository by developing 33 algorithmic features spanning dynamic programming, graph theory, and data aggregation. Solutions addressed a range of computational problems, including tree traversal, shortest-path optimization, and queue balancing, with a focus on performance and code clarity. Leveraged Java and SQL to implement efficient algorithms such as Dijkstra’s, segment trees, and modular arithmetic, while also providing SQL-based analytics for sales data. Emphasized maintainability through thorough code commenting and documentation, resulting in a reusable codebase that supports onboarding, rapid prototyping, and interview preparation for complex algorithmic challenges. No bugs were reported.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
54Total
Bugs
0
Commits
54
Features
33
Lines of code
2,576
Activity Months4
Your Network
15 peopleWork History
May 2025
4 Commits • 4 Features
May 1, 2025May 2025 monthly summary for ssafy16codingteststudy/1st_algorithm focused on delivering four key features across algorithmic puzzles, optimization, geometry visualization, and analytics. The work emphasizes business value through cost and efficiency improvements, data-driven insights, and robust algorithmic implementations with clear commit traceability.
4 Commits • 4 Features
May 1, 2025May 2025 monthly summary for ssafy16codingteststudy/1st_algorithm focused on delivering four key features across algorithmic puzzles, optimization, geometry visualization, and analytics. The work emphasizes business value through cost and efficiency improvements, data-driven insights, and robust algorithmic implementations with clear commit traceability.
May 2025
April 2025
21 Commits • 11 Features
Apr 1, 2025April 2025 performance summary for ssafy16codingteststudy/1st_algorithm. Delivered a broad set of algorithmic solutions and reinforced core patterns across DSU, MST, segment trees, and scheduling problems. Strengthened code quality via documentation and housekeeping, resulting in a reusable problem-solving foundation that accelerates onboarding and future iterations. The month produced tangible business value through reliable, well-documented solutions and a robust practice repository.
April 2025
21 Commits • 11 Features
Apr 1, 2025April 2025 performance summary for ssafy16codingteststudy/1st_algorithm. Delivered a broad set of algorithmic solutions and reinforced core patterns across DSU, MST, segment trees, and scheduling problems. Strengthened code quality via documentation and housekeeping, resulting in a reusable problem-solving foundation that accelerates onboarding and future iterations. The month produced tangible business value through reliable, well-documented solutions and a robust practice repository.
March 2025
9 Commits • 9 Features
Mar 1, 2025March 2025 performance summary for ssafy16codingteststudy/1st_algorithm: Delivered a diverse set of algorithmic solutions focusing on performance, correctness, and scalable patterns. Key features delivered span dynamic programming, optimization, and search techniques across problem domains, positioned to strengthen interview prep and real-world problem solving. Major outcomes include improved solution efficiency, robust state management, and reusable patterns for future challenges.
9 Commits • 9 Features
Mar 1, 2025March 2025 performance summary for ssafy16codingteststudy/1st_algorithm: Delivered a diverse set of algorithmic solutions focusing on performance, correctness, and scalable patterns. Key features delivered span dynamic programming, optimization, and search techniques across problem domains, positioned to strengthen interview prep and real-world problem solving. Major outcomes include improved solution efficiency, robust state management, and reusable patterns for future challenges.
March 2025
February 2025
20 Commits • 9 Features
Feb 1, 2025February 2025 monthly summary for repository ssafy16codingteststudy/1st_algorithm. Delivered a cohesive algorithmic toolkit spanning trees, BFS, dynamic programming, and grid-based simulations. Key features include: Tree and BFS-based problems (BOJ 1991, 3584, 11725) with Node-based traversal and improved project organization; Safe Area (BOJ 2468) with multi-test BFS to compute safe regions across varying water levels; Baby Shark (BOJ 16236) grid simulation including movement, growth, and time tracking; Giant Fight Simulation (BOJ 19638) attack-based height halving logic to determine success; Minimal Path Cost in Grid (BOJ 4485) via Dijkstra with multi-test support; Dynamic Programming Solutions Suite covering multiple problems with memoization and optimization; Modular Arithmetic and Matrix Power enabling fast exponentiation for large numbers; Cantor Set Generator with memoization; and Color Paper Division (BOJ 2630) using recursive quadrant counting. These deliverables improve problem-solving speed, code quality, reliability, and onboarding effectiveness, providing a scalable foundation for coding assessments and rapid prototyping.
February 2025
20 Commits • 9 Features
Feb 1, 2025February 2025 monthly summary for repository ssafy16codingteststudy/1st_algorithm. Delivered a cohesive algorithmic toolkit spanning trees, BFS, dynamic programming, and grid-based simulations. Key features include: Tree and BFS-based problems (BOJ 1991, 3584, 11725) with Node-based traversal and improved project organization; Safe Area (BOJ 2468) with multi-test BFS to compute safe regions across varying water levels; Baby Shark (BOJ 16236) grid simulation including movement, growth, and time tracking; Giant Fight Simulation (BOJ 19638) attack-based height halving logic to determine success; Minimal Path Cost in Grid (BOJ 4485) via Dijkstra with multi-test support; Dynamic Programming Solutions Suite covering multiple problems with memoization and optimization; Modular Arithmetic and Matrix Power enabling fast exponentiation for large numbers; Cantor Set Generator with memoization; and Color Paper Division (BOJ 2630) using recursive quadrant counting. These deliverables improve problem-solving speed, code quality, reliability, and onboarding effectiveness, providing a scalable foundation for coding assessments and rapid prototyping.
Activity
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Quality Metrics
Correctness95.4%
Maintainability83.0%
Architecture81.0%
Performance89.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaSQL
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithmsBacktrackingBinary SearchBit ManipulationBreadth-First SearchBreadth-First Search (BFS)Code CommentingCompetitive ProgrammingData AggregationData StructuresDatabaseDepth-First SearchDeque
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