CodingTestStudy2/Daily_Morning_Coding_Test
Oct 2024 – Dec 2024
3 Months active
Languages Used
Python
Technical Skills
AlgorithmData StructuresHeapAlgorithm DesignAlgorithm ImplementationBasic Arithmetic
facule
PROFILE
Facule
Over a three-month period, Donghwan Kim developed a suite of algorithmic problem-solving features for the CodingTestStudy2/Daily_Morning_Coding_Test repository, focusing on reusable Python solutions for coding interviews and practice. He implemented algorithms such as min-heap based optimizers, DFS-driven solvers, and GCD-based geometric calculators, applying skills in data structures, recursion, and mathematical programming. His work included establishing standardized repository structures and clear commit histories, which improved maintainability and onboarding. By delivering eight new features without reported bugs, Donghwan demonstrated depth in algorithm design and implementation, providing a scalable foundation for automated validation, performance tracking, and accelerated technical interview preparation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
33Total
Bugs
0
Commits
33
Features
8
Lines of code
546
Activity Months3
Your Network
32 people
Work History
December 2024
4 Commits • 1 Features
Dec 1, 2024Month: 2024-12 — Key deliverable: Algorithmic Challenge Solutions Suite in Python for CodingTestStudy2/Daily_Morning_Coding_Test, introducing four problem solvers: min-heap based game defense solver, Tower of Hanoi solver using DFS, rectangle diagonal usability calculator using GCD, and circle coordinate problem solver. Implemented as four new files (lv2 디펜스 게임, lv2 하노이의 탑, lv2 멀쩡한 사각형, lv2 두 원 사이의 정수쌍); commits: ea93ef8bd66aa477275dbc9a1fd2983889eb8c69, 57e3e3eb2f78b9098e6b321ce226adff268e967c, 92695029310da455a972393477fd7dc8e7438f4b, adb72402498c16596605e1bf17f00c6827d600a4. No major bugs reported; focused on feature delivery and reusable problem-solving templates. Impact: accelerates interview prep and contest readiness, providing a scalable toolkit for algorithm practice and education. Technologies/skills: Python, min-heap, DFS, GCD, modular design, documentation, and testability.
4 Commits • 1 Features
Dec 1, 2024Month: 2024-12 — Key deliverable: Algorithmic Challenge Solutions Suite in Python for CodingTestStudy2/Daily_Morning_Coding_Test, introducing four problem solvers: min-heap based game defense solver, Tower of Hanoi solver using DFS, rectangle diagonal usability calculator using GCD, and circle coordinate problem solver. Implemented as four new files (lv2 디펜스 게임, lv2 하노이의 탑, lv2 멀쩡한 사각형, lv2 두 원 사이의 정수쌍); commits: ea93ef8bd66aa477275dbc9a1fd2983889eb8c69, 57e3e3eb2f78b9098e6b321ce226adff268e967c, 92695029310da455a972393477fd7dc8e7438f4b, adb72402498c16596605e1bf17f00c6827d600a4. No major bugs reported; focused on feature delivery and reusable problem-solving templates. Impact: accelerates interview prep and contest readiness, providing a scalable toolkit for algorithm practice and education. Technologies/skills: Python, min-heap, DFS, GCD, modular design, documentation, and testability.
December 2024
November 2024
27 Commits • 5 Features
Nov 1, 2024November 2024: Delivered a comprehensive problem-solution library for Baekjoon Lv1–Lv3 and supplementary Lv1/Lv2 problem sets, establishing a scalable, reusable coding-practice repository. Key outcomes include 27 new solution files across five problem collections, standardized file naming and structure, and clear, traceable commits. This work accelerates onboarding, enables consistent practice, and provides a solid foundation for automated validation and performance tracking.
November 2024
27 Commits • 5 Features
Nov 1, 2024November 2024: Delivered a comprehensive problem-solution library for Baekjoon Lv1–Lv3 and supplementary Lv1/Lv2 problem sets, establishing a scalable, reusable coding-practice repository. Key outcomes include 27 new solution files across five problem collections, standardized file naming and structure, and clear, traceable commits. This work accelerates onboarding, enables consistent practice, and provides a solid foundation for automated validation and performance tracking.
October 2024
2 Commits • 2 Features
Oct 1, 20242024-10 Monthly Summary for CodingTestStudy2/Daily_Morning_Coding_Test: Delivered two end-to-end features with clean commit provenance, reinforcing problem-solving utilities and code quality. No major bugs reported/flagged this month.
2 Commits • 2 Features
Oct 1, 20242024-10 Monthly Summary for CodingTestStudy2/Daily_Morning_Coding_Test: Delivered two end-to-end features with clean commit provenance, reinforcing problem-solving utilities and code quality. No major bugs reported/flagged this month.
October 2024
Activity
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Quality Metrics
Correctness89.8%
Maintainability90.4%
Architecture86.6%
Performance87.2%
AI Usage20.6%
Skills & Technologies
Programming Languages
Python
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationBasic ArithmeticBit ManipulationBreadth-First SearchBreadth-First Search (BFS)Coordinate GeometryData StructuresDepth First SearchDijkstra's AlgorithmDynamic ProgrammingFile HandlingGame DevelopmentGraph Theory
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