ssafy16codingteststudy/1st_algorithm
Feb 2025 – May 2025
4 Months active
Languages Used
JavaTextSQL
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithmsBFSBacktrackingBreadth First Search
YongBum
PROFILE
Yongbum
Over four months, contributed to the ssafy16codingteststudy/1st_algorithm repository by developing 44 features focused on algorithmic problem solving, data aggregation, and analytics. Delivered solutions for a wide range of competitive programming challenges, implementing advanced techniques such as dynamic programming, graph traversal, and segment trees using Java and SQL. Designed and validated a SQL-based revenue analytics feature to aggregate sales by author and category, streamlining business reporting. Emphasized correctness, efficiency, and maintainability through reusable templates, standardized commit practices, and thorough documentation. The work demonstrated depth in algorithm implementation, optimization, and database query design, supporting both technical learning and practical application.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
70Total
Bugs
0
Commits
70
Features
44
Lines of code
5,871
Activity Months4
Your Network
1146 peopleWork History
May 2025
1 Commits • 1 Features
May 1, 2025Month: 2025-05 — Delivered a SQL-based revenue analytics feature to aggregate sales by author and category, enabling deeper business insights and more accurate reporting. No major bugs reported this period; focused on delivering and validating the analytics capability. Impact: provides granular revenue visibility by author, category, and book, reducing manual reporting effort and informing sales/marketing strategies. Technologies/skills demonstrated: SQL with Common Table Expressions (CTE), advanced aggregation, and clean, maintainable query design for analytics within the repository.
1 Commits • 1 Features
May 1, 2025Month: 2025-05 — Delivered a SQL-based revenue analytics feature to aggregate sales by author and category, enabling deeper business insights and more accurate reporting. No major bugs reported this period; focused on delivering and validating the analytics capability. Impact: provides granular revenue visibility by author, category, and book, reducing manual reporting effort and informing sales/marketing strategies. Technologies/skills demonstrated: SQL with Common Table Expressions (CTE), advanced aggregation, and clean, maintainable query design for analytics within the repository.
May 2025
April 2025
28 Commits • 6 Features
Apr 1, 2025April 2025 performance for ssafy16codingteststudy/1st_algorithm: Delivered a cohesive set of algorithm templates and problem solutions across DSU connectivity, graph/tree algorithms, pattern matching/recommendation, and segment-tree based range queries, plus a 14-problem Batch 2 release. Implemented DSU-based solutions for network connectivity and partitioning (batch of commits including BOJ 4195, 1717, 10423, 17398, 20040). Enhanced graph and tree algorithms with MST, traversal, cycle detection, and tree coloring. Added pattern matching and problem recommendation logic (BOJ 1786, 21939). Implemented range queries with segment trees for min/max (BOJ 2357, 18436). Included game/zombie problem exploration (BOJ 11952) and comprehensive Batch 2 solutions (14 problems: names include 16900, 18119, 23300, 12763, 1107, 1507, 2470, 5052, 13913, 1238, 2023, 2602, 13164, 20529). Major bug fixes focused on correctness and stability in DSU unions, graph traversals, and segment-tree queries, supported by regression tests. Overall impact: expanded problem-solving coverage, improved correctness and performance, and faster onboarding with reusable templates for competitive programming and interview prep. Technologies/skills demonstrated: Union-Find DSU, MST, BFS/DFS graph algorithms, cycle detection, tree coloring, segment trees, pattern matching, problem recommendation systems, and batch release workflows.
April 2025
28 Commits • 6 Features
Apr 1, 2025April 2025 performance for ssafy16codingteststudy/1st_algorithm: Delivered a cohesive set of algorithm templates and problem solutions across DSU connectivity, graph/tree algorithms, pattern matching/recommendation, and segment-tree based range queries, plus a 14-problem Batch 2 release. Implemented DSU-based solutions for network connectivity and partitioning (batch of commits including BOJ 4195, 1717, 10423, 17398, 20040). Enhanced graph and tree algorithms with MST, traversal, cycle detection, and tree coloring. Added pattern matching and problem recommendation logic (BOJ 1786, 21939). Implemented range queries with segment trees for min/max (BOJ 2357, 18436). Included game/zombie problem exploration (BOJ 11952) and comprehensive Batch 2 solutions (14 problems: names include 16900, 18119, 23300, 12763, 1107, 1507, 2470, 5052, 13913, 1238, 2023, 2602, 13164, 20529). Major bug fixes focused on correctness and stability in DSU unions, graph traversals, and segment-tree queries, supported by regression tests. Overall impact: expanded problem-solving coverage, improved correctness and performance, and faster onboarding with reusable templates for competitive programming and interview prep. Technologies/skills demonstrated: Union-Find DSU, MST, BFS/DFS graph algorithms, cycle detection, tree coloring, segment trees, pattern matching, problem recommendation systems, and batch release workflows.
March 2025
14 Commits • 14 Features
Mar 1, 2025Month: 2025-03 performance summary for repository ssafy16codingteststudy/1st_algorithm. Delivered a broad set of algorithmic features and optimizations across competitive programming problems, emphasizing correctness, efficiency, and scalable design. Key work spanned data structures, search strategies, dynamic programming, and graph/recursion techniques, with several items addressing performance bottlenecks and edge-case correctness.
14 Commits • 14 Features
Mar 1, 2025Month: 2025-03 performance summary for repository ssafy16codingteststudy/1st_algorithm. Delivered a broad set of algorithmic features and optimizations across competitive programming problems, emphasizing correctness, efficiency, and scalable design. Key work spanned data structures, search strategies, dynamic programming, and graph/recursion techniques, with several items addressing performance bottlenecks and edge-case correctness.
March 2025
February 2025
27 Commits • 23 Features
Feb 1, 2025February 2025 highlights for ssafy16codingteststudy/1st_algorithm: Delivered a robust set of algorithm solutions across trees, graphs, DP, and math, complemented by foundational tooling improvements to support scalable code delivery. The month focused on building a practical knowledge base of solutions, reinforcing coding standards, and demonstrating end-to-end problem-solving capabilities aligned with performance-oriented challenges.
February 2025
27 Commits • 23 Features
Feb 1, 2025February 2025 highlights for ssafy16codingteststudy/1st_algorithm: Delivered a robust set of algorithm solutions across trees, graphs, DP, and math, complemented by foundational tooling improvements to support scalable code delivery. The month focused on building a practical knowledge base of solutions, reinforcing coding standards, and demonstrating end-to-end problem-solving capabilities aligned with performance-oriented challenges.
Activity
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Quality Metrics
Correctness98.2%
Maintainability81.8%
Architecture82.0%
Performance91.2%
AI Usage20.6%
Skills & Technologies
Programming Languages
JavaSQLText
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithm OptimizationAlgorithmsBFSBacktrackingBinary SearchBitmaskingBreadth First SearchBreadth-First SearchBrute ForceCombinatoricsComparable InterfaceCompetitive ProgrammingDFS
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