UngSangYoon/Algorithm_Study_FISA
Jan 2025 – Feb 2025
2 Months active
Languages Used
MarkdownPythonGitGitattributes
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithmic Problem SolvingBack-end DevelopmentBasic Input/OutputData Structures
leetaemin
PROFILE
Leetaemin
Over two months, Taemin Lee expanded the UngSangYoon/Algorithm_Study_FISA repository by developing a comprehensive suite of algorithmic problem solvers and improving project documentation. He implemented 15 new Python scripts covering topics such as recursion, combinatorics, number theory, and string manipulation, with solutions spanning Bronze to Gold difficulty levels from Baekjoon. Lee enhanced repository maintainability by refining .gitignore rules and updating onboarding materials in Markdown. His work demonstrated consistent use of Git for version control and emphasized clean, readable code. The depth of his contributions provided a robust foundation for future algorithm practice and streamlined collaboration for new contributors.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
25Total
Bugs
0
Commits
25
Features
15
Lines of code
631
Activity Months2
Your Network
21 people
Work History
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025 (UngSangYoon/Algorithm_Study_FISA): Delivered repository hygiene improvements and core algorithmic utilities. Key outcomes include enhanced .gitignore to prevent accidental commits and two Python-based problem solvers (Number Baseball and Sum of Subsequences). No major bugs reported. The work improves maintainability, onboarding, and future scalability of algorithm practice. Technologies demonstrated: Python scripting, Git workflows, and algorithmic problem solving.
4 Commits • 2 Features
Feb 1, 2025February 2025 (UngSangYoon/Algorithm_Study_FISA): Delivered repository hygiene improvements and core algorithmic utilities. Key outcomes include enhanced .gitignore to prevent accidental commits and two Python-based problem solvers (Number Baseball and Sum of Subsequences). No major bugs reported. The work improves maintainability, onboarding, and future scalability of algorithm practice. Technologies demonstrated: Python scripting, Git workflows, and algorithmic problem solving.
February 2025
January 2025
21 Commits • 13 Features
Jan 1, 2025January 2025 (2025-01) — Expanded the UngSangYoon/Algorithm_Study_FISA repository with a broad set of algorithm practice solutions and documentation improvements. Key deliverables include 13 new feature scripts spanning Bronze–Gold difficulty (notably Baekjoon solutions 1978, 11653, 2960, 15736; 주사위세개_브론즈4.py; 재밌는 나머지 연산; 골드바흐의 추측; 팩토리얼 2; 재귀의 귀재; 칸토어집합; 피보나치 수 5 and Bronze 2 variant; What is recursion?; Star printing; Password creation), and 21 commits across 13 items. Documentation updates to README.md improve onboarding and reference. No critical bugs reported; the month prioritized feature delivery, documentation, and code quality.
January 2025
21 Commits • 13 Features
Jan 1, 2025January 2025 (2025-01) — Expanded the UngSangYoon/Algorithm_Study_FISA repository with a broad set of algorithm practice solutions and documentation improvements. Key deliverables include 13 new feature scripts spanning Bronze–Gold difficulty (notably Baekjoon solutions 1978, 11653, 2960, 15736; 주사위세개_브론즈4.py; 재밌는 나머지 연산; 골드바흐의 추측; 팩토리얼 2; 재귀의 귀재; 칸토어집합; 피보나치 수 5 and Bronze 2 variant; What is recursion?; Star printing; Password creation), and 21 commits across 13 items. Documentation updates to README.md improve onboarding and reference. No critical bugs reported; the month prioritized feature delivery, documentation, and code quality.
Activity
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Quality Metrics
Correctness92.4%
Maintainability89.6%
Architecture85.6%
Performance82.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
GitGitattributesMarkdownPython
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithmic Problem SolvingBack-end DevelopmentBasic Input/OutputCombinatoricsConfigurationData StructuresDocumentationFile ManagementGitNumber TheoryPattern GenerationPermutationsPrime Factorization
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