CODE-U-S/Coding_Test_Study
Mar 2025 – Feb 2026
10 Months active
Languages Used
JavaTextCPythonSQL
Technical Skills
AlgorithmProblem SolvingAlgorithm ImplementationBasic ArithmeticBasic Input/OutputBasic Programming
gushgus
PROFILE
Gushgus
Over ten months, S2547 contributed to the CODE-U-S/Coding_Test_Study repository by developing a comprehensive suite of algorithmic problem solutions and utilities. They implemented over 75 features spanning Java, SQL, and C, focusing on array manipulation, string processing, and database querying. S2547 established reusable scaffolding for Level 0 and Level 1 coding challenges, enabling automated evaluation and streamlined onboarding. Their work included SQL-based data retrieval, numeric utilities, and modular Java components for input validation and problem-solving. With disciplined commit practices and clean code, S2547 delivered maintainable, testable solutions that expanded the repository’s coverage and improved the reliability of coding exercises.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
148Total
Bugs
0
Commits
148
Features
77
Lines of code
2,004
Activity Months10
Your Network
17 peopleSame Organization
@e-mirim.hs.kr1
Work History
February 2026
6 Commits • 2 Features
Feb 1, 2026February 2026 Monthly Summary for CODE-U-S/Coding_Test_Study: Delivered data retrieval capabilities and numeric utilities, driving business value by enabling targeted adoption workflows and robust numeric operations. No major bugs reported this month. Focus remained on implementing SQL-based data extraction for animal records and utilities for parity and divisibility checks, with clean, descriptive commits that support maintainability.
6 Commits • 2 Features
Feb 1, 2026February 2026 Monthly Summary for CODE-U-S/Coding_Test_Study: Delivered data retrieval capabilities and numeric utilities, driving business value by enabling targeted adoption workflows and robust numeric operations. No major bugs reported this month. Focus remained on implementing SQL-based data extraction for animal records and utilities for parity and divisibility checks, with clean, descriptive commits that support maintainability.
February 2026
January 2026
31 Commits • 20 Features
Jan 1, 2026January 2026 performance summary for CODE-U-S/Coding_Test_Study. Delivered a sizable expansion of the problem-solving library with 20+ PGS solutions across Level 0–1, spanning topics from number operations and arrays to strings and basic data structures. Key features include: PGS - 없는 숫자 더하기 (Level 1); PGS - 서울에서 김서방 찾기 (Level 1); Watermelon problem (Level 1); Fraction addition (Level 0); 문자열 다루기 기본 (Level 1); and others. Each feature was implemented with clear commit history and incremental commits, enabling traceability and reusability. The month emphasized feature delivery and code quality, with no major bug fixes reported. Overall impact: enhanced learning and interview-prep readiness, improved onboarding efficiency, and a solid foundation for a scalable problem-library. Technologies/skills demonstrated: algorithmic problem solving, modular design, clean Git practices, and coverage across Level 0–1 problem domains.
January 2026
31 Commits • 20 Features
Jan 1, 2026January 2026 performance summary for CODE-U-S/Coding_Test_Study. Delivered a sizable expansion of the problem-solving library with 20+ PGS solutions across Level 0–1, spanning topics from number operations and arrays to strings and basic data structures. Key features include: PGS - 없는 숫자 더하기 (Level 1); PGS - 서울에서 김서방 찾기 (Level 1); Watermelon problem (Level 1); Fraction addition (Level 0); 문자열 다루기 기본 (Level 1); and others. Each feature was implemented with clear commit history and incremental commits, enabling traceability and reusability. The month emphasized feature delivery and code quality, with no major bug fixes reported. Overall impact: enhanced learning and interview-prep readiness, improved onboarding efficiency, and a solid foundation for a scalable problem-library. Technologies/skills demonstrated: algorithmic problem solving, modular design, clean Git practices, and coverage across Level 0–1 problem domains.
December 2025
4 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for CODE-U-S/Coding_Test_Study highlights two data-generation and string-analysis features delivered to improve test automation and correctness checks. The work delivered deterministic test data generation and robust string counting, enabling faster QA cycles and more reliable data-driven tests. No major regressions observed; code remains stable and well-documented.
4 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for CODE-U-S/Coding_Test_Study highlights two data-generation and string-analysis features delivered to improve test automation and correctness checks. The work delivered deterministic test data generation and robust string counting, enabling faster QA cycles and more reliable data-driven tests. No major regressions observed; code remains stable and well-documented.
December 2025
October 2025
4 Commits • 3 Features
Oct 1, 2025Month: 2025-10 | CODE-U-S/Coding_Test_Study — Focused feature delivery and code quality improvements for algorithm practice utilities. Delivered three self-contained features with clear, testable implementations and traceable commits. No major bugs fixed were documented in this period. The work enhances problem-solving workflows and interview prep capabilities by providing reusable components for numeric and string processing, implemented with Java-focused optimizations and clean coding practices.
October 2025
4 Commits • 3 Features
Oct 1, 2025Month: 2025-10 | CODE-U-S/Coding_Test_Study — Focused feature delivery and code quality improvements for algorithm practice utilities. Delivered three self-contained features with clear, testable implementations and traceable commits. No major bugs fixed were documented in this period. The work enhances problem-solving workflows and interview prep capabilities by providing reusable components for numeric and string processing, implemented with Java-focused optimizations and clean coding practices.
September 2025
31 Commits • 15 Features
Sep 1, 2025September 2025: Delivered extensive Level 0 problem solutions in CODE-U-S/Coding_Test_Study, built essential scaffolding, and improved reliability across the repository. Focused on business value by enabling automated evaluation, scalable problem coverage, and faster onboarding for new contributors.
31 Commits • 15 Features
Sep 1, 2025September 2025: Delivered extensive Level 0 problem solutions in CODE-U-S/Coding_Test_Study, built essential scaffolding, and improved reliability across the repository. Focused on business value by enabling automated evaluation, scalable problem coverage, and faster onboarding for new contributors.
September 2025
August 2025
21 Commits • 13 Features
Aug 1, 2025August 2025 Performance Summary for CODE-U-S/Coding_Test_Study: Expanded practical algorithm content and established foundational scaffolding for Level 0/Level 1 PGS problems. Focus was on delivering tangible features that increase learner coverage, enable automated evaluation, and improve codebase maintainability.
August 2025
21 Commits • 13 Features
Aug 1, 2025August 2025 Performance Summary for CODE-U-S/Coding_Test_Study: Expanded practical algorithm content and established foundational scaffolding for Level 0/Level 1 PGS problems. Focus was on delivering tangible features that increase learner coverage, enable automated evaluation, and improve codebase maintainability.
July 2025
12 Commits • 2 Features
Jul 1, 2025July 2025 performance summary: Delivered a reusable challenge-solver library by consolidating Core Programmers Challenge Solutions across multiple problems (array slicing, height counts, parity-based sums, angle problems, CPR sequencing, Pythagorean calculation, and basic I/O) for CODE-U-S/Coding_Test_Study. Launched Programmers Challenge Scaffolding for Seohyun/Programmer with placeholder Java files to scaffold future problems. This work establishes a maintainable, extensible foundation for the coding challenges platform, enabling faster onboarding and consistent problem library growth. Across the month, completed 12 commits across two features (Level.0), with clear traceability and problem labeling.
12 Commits • 2 Features
Jul 1, 2025July 2025 performance summary: Delivered a reusable challenge-solver library by consolidating Core Programmers Challenge Solutions across multiple problems (array slicing, height counts, parity-based sums, angle problems, CPR sequencing, Pythagorean calculation, and basic I/O) for CODE-U-S/Coding_Test_Study. Launched Programmers Challenge Scaffolding for Seohyun/Programmer with placeholder Java files to scaffold future problems. This work establishes a maintainable, extensible foundation for the coding challenges platform, enabling faster onboarding and consistent problem library growth. Across the month, completed 12 commits across two features (Level.0), with clear traceability and problem labeling.
July 2025
June 2025
11 Commits • 4 Features
Jun 1, 2025June 2025 monthly summary for CODE-U-S/Coding_Test_Study: Delivered a set of reusable mathematical utilities and cross-language problem solvers, strengthening core math tooling and expanding practice scenarios across Java and C. Key features delivered: Core Math Utilities (remainder calculation, angle type classification, perfect square check); Challenge Solutions: Bacterial Growth and Pizza Sharing (C and Java); Array Analytics Toolkit (count duplicates, parity, average, doubling, max product); Misc Basic Problems Bundle (consolidated solutions to common problems). No major bugs fixed this month; the focus was on feature delivery and code quality. Business value: faster onboarding for learners, richer practice catalogs, and reusable components across problem domains. Technologies/skills demonstrated: Java and C proficiency, algorithm design, data processing, cross-language integration, and disciplined commit hygiene.
June 2025
11 Commits • 4 Features
Jun 1, 2025June 2025 monthly summary for CODE-U-S/Coding_Test_Study: Delivered a set of reusable mathematical utilities and cross-language problem solvers, strengthening core math tooling and expanding practice scenarios across Java and C. Key features delivered: Core Math Utilities (remainder calculation, angle type classification, perfect square check); Challenge Solutions: Bacterial Growth and Pizza Sharing (C and Java); Array Analytics Toolkit (count duplicates, parity, average, doubling, max product); Misc Basic Problems Bundle (consolidated solutions to common problems). No major bugs fixed this month; the focus was on feature delivery and code quality. Business value: faster onboarding for learners, richer practice catalogs, and reusable components across problem domains. Technologies/skills demonstrated: Java and C proficiency, algorithm design, data processing, cross-language integration, and disciplined commit hygiene.
May 2025
26 Commits • 15 Features
May 1, 2025May 2025 monthly summary for CODE-U-S/Coding_Test_Study shows a broad rollout of problem-solution features across Level.0/Level.1 and Bronze5, expanding the repository’s problem-solving catalog and strengthening evaluation readiness. Key deliverables include even/odd determination (Level.1) and angle-related functionality (Level.0), plus a wide range of Level.0 tasks (Age Output, Right Triangle, Pizza distribution, Ant army, Clothing discount, Quotient, A+B) and Bronze5 arithmetic ops (A-B, A×B, Basic IO/Arithmetic). The work enhances automated testing, standardizes input/output patterns, and broadens practice coverage with PGS and BPJ tasks (e.g., PGS - Basic IO and Arithmetic Tasks, BPJ Cat, PGS Bronze5 - Bacteria Growth).
26 Commits • 15 Features
May 1, 2025May 2025 monthly summary for CODE-U-S/Coding_Test_Study shows a broad rollout of problem-solution features across Level.0/Level.1 and Bronze5, expanding the repository’s problem-solving catalog and strengthening evaluation readiness. Key deliverables include even/odd determination (Level.1) and angle-related functionality (Level.0), plus a wide range of Level.0 tasks (Age Output, Right Triangle, Pizza distribution, Ant army, Clothing discount, Quotient, A+B) and Bronze5 arithmetic ops (A-B, A×B, Basic IO/Arithmetic). The work enhances automated testing, standardizes input/output patterns, and broadens practice coverage with PGS and BPJ tasks (e.g., PGS - Basic IO and Arithmetic Tasks, BPJ Cat, PGS Bronze5 - Bacteria Growth).
May 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025For 2025-03, delivered the initial setup for the quotient-finding (몫 구하기) educational exercise in CODE-U-S/Coding_Test_Study. Created a Java file template and removed an empty placeholder file to establish the problem scaffold, enabling learners to begin solving the task and laying groundwork for future levels.
March 2025
2 Commits • 1 Features
Mar 1, 2025For 2025-03, delivered the initial setup for the quotient-finding (몫 구하기) educational exercise in CODE-U-S/Coding_Test_Study. Created a Java file template and removed an empty placeholder file to establish the problem scaffold, enabling learners to begin solving the task and laying groundwork for future levels.
Activity
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Quality Metrics
Correctness89.0%
Maintainability88.0%
Architecture86.4%
Performance85.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
CJavaPythonSQLText
Technical Skills
AlgorithmAlgorithm ImplementationArray ManipulationBasic ArithmeticBasic Input/OutputBasic ProgrammingCompetitive ProgrammingConditional LogicGeometryInput/Output OperationsJavaJava programmingList ManipulationProblem SolvingProgramming
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