UngSangYoon/Algorithm_Study_FISA
Jan 2025 – Mar 2025
3 Months active
Languages Used
MarkdownPython
Technical Skills
AlgorithmCombinatoricsData StructuresDebuggingDocumentationInput/Output Handling
jihyee0e
PROFILE
Jihyee0e
Over a three-month period, contributed to the UngSangYoon/Algorithm_Study_FISA repository by developing 26 algorithmic features using Python and Markdown, with a focus on dynamic programming, greedy algorithms, and combinatorics. Delivered solutions for a range of competitive programming problems, emphasizing code quality, input/output optimization, and maintainability. Enhanced repository structure through documentation updates, consistent commit practices, and code refactoring to support onboarding and collaboration. Applied techniques such as brute force, recursion, and prefix sums to address mathematical and optimization challenges. Prioritized performance and reliability, establishing reusable templates and scalable patterns for future problem-solving and accelerating learning cycles within the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
54Total
Bugs
0
Commits
54
Features
26
Lines of code
1,809
Activity Months3
Your Network
21 peopleShared Repositories
21
Work History
March 2025
15 Commits • 2 Features
Mar 1, 2025March 2025 – UngSangYoon/Algorithm_Study_FISA: Delivered a robust DP/optimization and greedy problem-solving foundation, with significant code hygiene improvements to enhance maintainability and learning value. Key outcomes: - Built a broad dynamic programming and iterative optimization suite for problems including min operations to 1, 1/2/3 sum, Stairs max score, tiling 2xN, LIS, prefix sums (1D/2D), max candies grid, and a Fibonacci iterative optimization; cleaned up outdated DP stairs file. - Implemented greedy solutions for coin change and rope lifting capacity, establishing fast, reliable baselines for common algorithmic patterns. - Refactored and organized repository for clarity and consistency, including renames and cleanup to improve long-term maintainability and collaboration. - Demonstrated cross-cutting technical skills in Python, DP design patterns, greedy algorithms, data structures, and performance-focused coding. Business value: accelerated learning and experimentation cycles, improved code quality and consistency, and a scalable foundation for future algorithm study work.
15 Commits • 2 Features
Mar 1, 2025March 2025 – UngSangYoon/Algorithm_Study_FISA: Delivered a robust DP/optimization and greedy problem-solving foundation, with significant code hygiene improvements to enhance maintainability and learning value. Key outcomes: - Built a broad dynamic programming and iterative optimization suite for problems including min operations to 1, 1/2/3 sum, Stairs max score, tiling 2xN, LIS, prefix sums (1D/2D), max candies grid, and a Fibonacci iterative optimization; cleaned up outdated DP stairs file. - Implemented greedy solutions for coin change and rope lifting capacity, establishing fast, reliable baselines for common algorithmic patterns. - Refactored and organized repository for clarity and consistency, including renames and cleanup to improve long-term maintainability and collaboration. - Demonstrated cross-cutting technical skills in Python, DP design patterns, greedy algorithms, data structures, and performance-focused coding. Business value: accelerated learning and experimentation cycles, improved code quality and consistency, and a scalable foundation for future algorithm study work.
March 2025
February 2025
12 Commits • 11 Features
Feb 1, 2025February 2025 (2025-02) monthly summary for UngSangYoon/Algorithm_Study_FISA. Delivered a focused set of algorithmic solutions and performance improvements across multiple problems, with an emphasis on Python I/O optimization, runtime efficiency, and reusable problem-solving patterns. No major bugs reported this month; the work primarily advanced feature delivery and code reliability, enabling faster iteration and scalable templates for future problems.
February 2025
12 Commits • 11 Features
Feb 1, 2025February 2025 (2025-02) monthly summary for UngSangYoon/Algorithm_Study_FISA. Delivered a focused set of algorithmic solutions and performance improvements across multiple problems, with an emphasis on Python I/O optimization, runtime efficiency, and reusable problem-solving patterns. No major bugs reported this month; the work primarily advanced feature delivery and code reliability, enabling faster iteration and scalable templates for future problems.
January 2025
27 Commits • 13 Features
Jan 1, 2025January 2025 (Month: 2025-01) – UngSangYoon/Algorithm_Study_FISA: Delivered a cohesive set of Python algorithm solutions spanning Bronze to Silver levels, with a focus on practical problem-solving and code quality. Key work included multiple feature-like implementations for fundamental algorithms (divisors, prime detection, greatest common divisor and least common multiple, sieve of Eratosthenes), recursion-based problems, and combinatorics/permutations exercises. In addition, a sizable effort was devoted to test coverage and documentation updates to improve reliability, onboarding, and maintainability of the repository.
27 Commits • 13 Features
Jan 1, 2025January 2025 (Month: 2025-01) – UngSangYoon/Algorithm_Study_FISA: Delivered a cohesive set of Python algorithm solutions spanning Bronze to Silver levels, with a focus on practical problem-solving and code quality. Key work included multiple feature-like implementations for fundamental algorithms (divisors, prime detection, greatest common divisor and least common multiple, sieve of Eratosthenes), recursion-based problems, and combinatorics/permutations exercises. In addition, a sizable effort was devoted to test coverage and documentation updates to improve reliability, onboarding, and maintainability of the repository.
January 2025
Activity
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Quality Metrics
Correctness92.4%
Maintainability86.6%
Architecture80.4%
Performance81.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationBasic Input/OutputBrute ForceCombinationsCombinatoricsCompetitive ProgrammingData StructuresDebuggingDocumentationDynamic ProgrammingGreedy AlgorithmGreedy AlgorithmsInput/Output Handling
Repositories Contributed To
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