hanaro-algorithm/algorithm
Jul 2025 – Oct 2025
4 Months active
Languages Used
JavaScriptJavaSQL
Technical Skills
AlgorithmsData StructuresMin-HeapProblem SolvingAlgorithmAlgorithm Design
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PROFILE
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Over four months, MJL developed a suite of algorithmic solutions and analytics features in the hanaro-algorithm/algorithm repository, focusing on efficient problem solving and data-driven insights. MJL implemented classroom allocation optimization using min-heaps, SQL-based analytics for product and animal data, and a modular toolkit for weekly algorithm challenges. Leveraging Java, JavaScript, and SQL, MJL designed and delivered cross-domain utilities such as D-Day calculations, dynamic programming solvers, and resource optimization algorithms. The work demonstrated depth in algorithm design, data structure application, and modular code organization, resulting in reusable components that accelerated development and provided a stable foundation for future enhancements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
5
Lines of code
1,512
Activity Months4
Your Network
1011 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered the Algorithmic Problem Solving Toolkit in hanaro-algorithm/algorithm, introducing cross-domain capabilities including SQL queries for animal data, JavaScript utilities for D-Day calculations and deriving weights from a given difference, an optimization algorithm to maximize jewel value within a specified range, and a method to compute the minimum number of electrical wires to remove to prevent short circuits. This work is associated with commit b23b37e4f203e711ba7185b269abe45516f48029 ("64주차 문제 풀이"). Major bugs fixed: none reported this month; focus was on feature delivery and toolkit stabilization. Overall impact: accelerates problem solving and decision support by providing reusable, data-driven utilities and cross-domain algorithms, enabling faster prototyping and more consistent results across problems. Technologies/skills demonstrated: SQL data querying, JavaScript utility development, algorithm design and optimization, cross-domain problem solving, and modular software engineering.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered the Algorithmic Problem Solving Toolkit in hanaro-algorithm/algorithm, introducing cross-domain capabilities including SQL queries for animal data, JavaScript utilities for D-Day calculations and deriving weights from a given difference, an optimization algorithm to maximize jewel value within a specified range, and a method to compute the minimum number of electrical wires to remove to prevent short circuits. This work is associated with commit b23b37e4f203e711ba7185b269abe45516f48029 ("64주차 문제 풀이"). Major bugs fixed: none reported this month; focus was on feature delivery and toolkit stabilization. Overall impact: accelerates problem solving and decision support by providing reusable, data-driven utilities and cross-domain algorithms, enabling faster prototyping and more consistent results across problems. Technologies/skills demonstrated: SQL data querying, JavaScript utility development, algorithm design and optimization, cross-domain problem solving, and modular software engineering.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025: Delivered foundational scaffolding and algorithmic solutions for the 63rd Week Problem Set in hanaro-algorithm/algorithm. Implemented cross-language artifacts across SQL, Java, and JavaScript, establishing a repeatable framework for weekly challenges. The month focused on feature delivery and groundwork; no major bug fixes were recorded, signaling a stable baseline for upcoming iterations. Technologies demonstrated include SQL, Java, JavaScript, and version control practices.
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025: Delivered foundational scaffolding and algorithmic solutions for the 63rd Week Problem Set in hanaro-algorithm/algorithm. Implemented cross-language artifacts across SQL, Java, and JavaScript, establishing a repeatable framework for weekly challenges. The month focused on feature delivery and groundwork; no major bug fixes were recorded, signaling a stable baseline for upcoming iterations. Technologies demonstrated include SQL, Java, JavaScript, and version control practices.
August 2025
11 Commits • 2 Features
Aug 1, 20252025-08 monthly performance summary for hanaro-algorithm/algorithm. Focused on feature delivery across two major areas: SQL analytics/reporting enhancements and an algorithmic problem solver toolkit. No major bugs reported this month; ongoing stabilization work complemented the feature delivery. Business value was advanced through richer analytics for insights and broader, reusable problem-solving utilities that accelerate development and enable better training of team members.
11 Commits • 2 Features
Aug 1, 20252025-08 monthly performance summary for hanaro-algorithm/algorithm. Focused on feature delivery across two major areas: SQL analytics/reporting enhancements and an algorithmic problem solver toolkit. No major bugs reported this month; ongoing stabilization work complemented the feature delivery. Business value was advanced through richer analytics for insights and broader, reusable problem-solving utilities that accelerate development and enable better training of team members.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 performance summary for hanaro-algorithm/algorithm. Delivered Classroom Allocation Optimization using a min-heap to determine the minimum number of classrooms by scheduling lectures based on end times. This reduces idle rooms and improves throughput. No major bugs fixed this month. Overall, the work demonstrates strong algorithm design, data-structure proficiency, and tangible business value through efficient resource utilization.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 performance summary for hanaro-algorithm/algorithm. Delivered Classroom Allocation Optimization using a min-heap to determine the minimum number of classrooms by scheduling lectures based on end times. This reduces idle rooms and improves throughput. No major bugs fixed this month. Overall, the work demonstrates strong algorithm design, data-structure proficiency, and tangible business value through efficient resource utilization.
Activity
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Quality Metrics
Correctness90.6%
Maintainability82.6%
Architecture81.4%
Performance84.8%
AI Usage21.4%
Skills & Technologies
Programming Languages
JavaJavaScriptSQL
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationAlgorithmsBacktrackingBinary SearchBreadth-First SearchData StructuresDatabaseDynamic ProgrammingFile I/OGreedy AlgorithmJavaScriptMin-HeapNumber Theory
Repositories Contributed To
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