Live-Coding-Test/Algorithm-study
Mar 2025 – Mar 2025
1 Month active
Languages Used
Python
Technical Skills
2D Array ManipulationAlgorithmBinary SearchCombinatoricsData StructuresDepth First Search
rachel4w2
PROFILE
Rachel4w2
Rachel developed a comprehensive set of algorithmic solutions in the Live-Coding-Test/Algorithm-study repository, delivering 23 new features and addressing a critical bug in problem sequencing. She implemented end-to-end solutions for rounds 87 through 100, focusing on scalable repository structure and reproducible code quality. Using Python, she applied advanced techniques such as dynamic programming, graph traversal, and greedy algorithms to solve a diverse range of problems. Her work emphasized maintainability through well-documented commits, enabling efficient onboarding and benchmarking. By consolidating solutions and ensuring traceability, Rachel established a robust foundation for ongoing algorithm practice and future feature planning within the project.
Overall Statistics
Feature vs Bugs
96%Features
Repository Contributions
45Total
Bugs
1
Commits
45
Features
23
Lines of code
879
Activity Months1
Your Network
1013 people
Work History
March 2025
45 Commits • 23 Features
Mar 1, 2025For 2025-03, delivered a comprehensive set of algorithm solutions and stability improvements in Live-Coding-Test/Algorithm-study. Implemented end-to-end problem-solutions across multiple rounds (87차 to 100차) with 1-3 problems per round, consolidating work into a coherent, scalable repository and establishing a strong foundation for ongoing practice and benchmarking. Addressed a critical bug in problem ordering for 89차 1/2 problems to ensure correct sequencing and expectations. Maintained high traceability and code quality through extensive, well-documented commits across all rounds, enabling reproducibility and faster onboarding for new contributors.
45 Commits • 23 Features
Mar 1, 2025For 2025-03, delivered a comprehensive set of algorithm solutions and stability improvements in Live-Coding-Test/Algorithm-study. Implemented end-to-end problem-solutions across multiple rounds (87차 to 100차) with 1-3 problems per round, consolidating work into a coherent, scalable repository and establishing a strong foundation for ongoing practice and benchmarking. Addressed a critical bug in problem ordering for 89차 1/2 problems to ensure correct sequencing and expectations. Maintained high traceability and code quality through extensive, well-documented commits across all rounds, enabling reproducibility and faster onboarding for new contributors.
March 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability85.4%
Architecture74.2%
Performance80.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
2D Array ManipulationAlgorithmBinary SearchCombinatoricsData StructuresDepth First SearchDepth First Search (DFS)Dynamic ProgrammingGraph AlgorithmsGraph TraversalGreedy AlgorithmHeapOptimizationPathfindingPermutations
Repositories Contributed To
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