leejihoindaeyo/Uwith_DataStructure
Nov 2024 – Dec 2024
2 Months active
Languages Used
PythonMarkdown
Technical Skills
AlgorithmAlgorithmsBreadth-First Search (BFS)Data StructuresDepth-First Search (DFS)Graph Traversal
shyun7
PROFILE
Shyun7
Shin Hyun Jin developed a modular algorithmic data structures and graph traversal library in the leejihoindaeyo/Uwith_DataStructure repository over two months. Using Python and Markdown, Shin implemented core features such as substring generation, connected components, tree traversals, and user-facing graph utilities including Dijkstra’s algorithm and a modified heap sort for Kth element selection. The work emphasized maintainability through structured code, documentation, and code reviews, optimizing for memory usage and readability. By integrating classic algorithms like BFS, DFS, and heap sort, Shin provided a reusable foundation for interview preparation, scalable analytics, and cross-team problem solving, demonstrating depth in algorithmic engineering.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
446
Activity Months2
Your Network
1011 people
Work History
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for leejihoindaeyo/Uwith_DataStructure: Focused on delivering core graph analytics capabilities and improving maintainability through documentation and code reviews. Implemented user-facing graph utilities: Dijkstra's algorithm for shortest paths in weighted graphs and a modified heap sort to identify the Kth smallest element. Accompanying documentation and best-practices notes were added to optimize memory usage, performance, and readability. All work aligns with downstream analytics needs and scalable graph processing.
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for leejihoindaeyo/Uwith_DataStructure: Focused on delivering core graph analytics capabilities and improving maintainability through documentation and code reviews. Implemented user-facing graph utilities: Dijkstra's algorithm for shortest paths in weighted graphs and a modified heap sort to identify the Kth smallest element. Accompanying documentation and best-practices notes were added to optimize memory usage, performance, and readability. All work aligns with downstream analytics needs and scalable graph processing.
December 2024
November 2024
3 Commits • 2 Features
Nov 1, 2024Delivered a cohesive algorithmic DS/graphs and tree traversal library in leejihoindaeyo/Uwith_DataStructure during 2024-11, focusing on substring generation, graph traversal, and tree-related problems. Implementations include unique substrings, connected components, parent-child relationships, DFS/BFS traversals, leaf detection, weighted distances in trees, and preorder/inorder/postorder traversals. These contributions provide a reusable foundation for feature development and interview-prep tooling, improve maintainability, and support cross-team collaboration.
November 2024
3 Commits • 2 Features
Nov 1, 2024Delivered a cohesive algorithmic DS/graphs and tree traversal library in leejihoindaeyo/Uwith_DataStructure during 2024-11, focusing on substring generation, graph traversal, and tree-related problems. Implementations include unique substrings, connected components, parent-child relationships, DFS/BFS traversals, leaf detection, weighted distances in trees, and preorder/inorder/postorder traversals. These contributions provide a reusable foundation for feature development and interview-prep tooling, improve maintainability, and support cross-team collaboration.
Activity
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Quality Metrics
Correctness84.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
AlgorithmAlgorithmsBreadth-First Search (BFS)Code ReviewData StructuresDepth-First Search (DFS)Dijkstra's AlgorithmGraph TheoryGraph TraversalHeap SortProblem SolvingSorting AlgorithmsTree Traversal
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