
During March 2025, Dahee Yoon developed and documented two algorithmic features in the UngSangYoon/Algorithm_Study_FISA repository, focusing on greedy problem-solving techniques using Python. She implemented a Coin Change Greedy Solver that sorts coin denominations in descending order and selects the largest possible coin at each step to minimize the total count, addressing the classic minimum coin problem. Additionally, she built a Baekjoon 2847 Score Reduction Solver that enforces a strictly decreasing sequence by greedily reducing scores. Her work emphasized clear documentation, consistent file naming, and strong commit traceability, demonstrating depth in algorithm design and practical problem-solving skills.

March 2025 – UngSangYoon/Algorithm_Study_FISA focused on implementing and documenting two key greedy-solver features, strengthening problem-solving tooling and traceability for onboarding and learning.
March 2025 – UngSangYoon/Algorithm_Study_FISA focused on implementing and documenting two key greedy-solver features, strengthening problem-solving tooling and traceability for onboarding and learning.
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