CODE-U-S/Coding_Test_Study
Nov 2024 – Apr 2025
6 Months active
Languages Used
JavaSQLPython
Technical Skills
AlgorithmAlgorithm ImplementationArray ManipulationBasic ProgrammingConsole OutputData Structures
fldus
PROFILE
Fldus
Over six months, Kry developed a comprehensive suite of algorithmic solutions and analytics features in the CODE-U-S/Coding_Test_Study repository. He delivered 59 features spanning data analysis, competitive programming, and business reporting, focusing on reusable Java and Python modules for problem-solving and SQL for data querying. His work included geometry and number theory toolkits, cross-domain analytics, and robust input/output handling, all with clear commit traceability and modular design. Kry emphasized code stability and onboarding efficiency, building a scalable reference library for learners and practitioners. The depth of his implementations reflects strong fundamentals in algorithms, data structures, and practical software engineering.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
118Total
Bugs
0
Commits
118
Features
59
Lines of code
1,756
Activity Months6
Your Network
16 people
Work History
April 2025
12 Commits • 11 Features
Apr 1, 2025April 2025 performance summary for CODE-U-S/Coding_Test_Study: Delivered a versatile algorithmic toolkit across geometry, combinatorics, and number theory, enhancing problem-solving speed and reliability for coding tests and technical interviews. Implemented robust, reusable solutions with clear commit history, enabling faster onboarding and higher-quality submissions. Key capabilities include geometry bounding rectangles, triangle classification/validation, perimeter optimization, a broad number-theory suite, and sorting/statistical utilities.
12 Commits • 11 Features
Apr 1, 2025April 2025 performance summary for CODE-U-S/Coding_Test_Study: Delivered a versatile algorithmic toolkit across geometry, combinatorics, and number theory, enhancing problem-solving speed and reliability for coding tests and technical interviews. Implemented robust, reusable solutions with clear commit history, enabling faster onboarding and higher-quality submissions. Key capabilities include geometry bounding rectangles, triangle classification/validation, perimeter optimization, a broad number-theory suite, and sorting/statistical utilities.
April 2025
March 2025
29 Commits • 25 Features
Mar 1, 2025March 2025 performance summary for CODE-U-S/Coding_Test_Study: Delivered 25 new problem solutions across Bronze–Silver levels, significantly expanding practical Baekjoon coverage and related practice tasks. Implementations span diverse topics including Remainder, Basket Reversal, Unsubmitted Assignment, Average, Group Word Checker, Your Grade Is, Matrix Addition, Maximum, Vertical Reading, Colored Paper, Base Conversion, Base Conversion 2, Laundry Owner Donghyuk, Central Movement Algorithm, Honeycomb, Fraction Finding, 달팽이는 올라가고 싶다, 배수와 약수, 약수 구하기, 2 x n 타일링 (Lv.2), 데이터 분석 (Lv.1), 직사각형, 직사각형에서 탈출, 네 번째 점, 수학은 체육과목 입니다. No major bugs fixed this period; focus was on feature delivery and codebase expansion. Impact: improved learner readiness, faster onboarding, and a richer, reusable reference library. Technologies/skills demonstrated: algorithmic fundamentals (DP, number theory, geometry, string processing), Python/C++ implementations, and strong commit hygiene.
March 2025
29 Commits • 25 Features
Mar 1, 2025March 2025 performance summary for CODE-U-S/Coding_Test_Study: Delivered 25 new problem solutions across Bronze–Silver levels, significantly expanding practical Baekjoon coverage and related practice tasks. Implementations span diverse topics including Remainder, Basket Reversal, Unsubmitted Assignment, Average, Group Word Checker, Your Grade Is, Matrix Addition, Maximum, Vertical Reading, Colored Paper, Base Conversion, Base Conversion 2, Laundry Owner Donghyuk, Central Movement Algorithm, Honeycomb, Fraction Finding, 달팽이는 올라가고 싶다, 배수와 약수, 약수 구하기, 2 x n 타일링 (Lv.2), 데이터 분석 (Lv.1), 직사각형, 직사각형에서 탈출, 네 번째 점, 수학은 체육과목 입니다. No major bugs fixed this period; focus was on feature delivery and codebase expansion. Impact: improved learner readiness, faster onboarding, and a richer, reusable reference library. Technologies/skills demonstrated: algorithmic fundamentals (DP, number theory, geometry, string processing), Python/C++ implementations, and strong commit hygiene.
February 2025
18 Commits • 3 Features
Feb 1, 2025February 2025 performance summary for CODE-U-S/Coding_Test_Study. Delivered three Java-based BOJ practice modules with 19 commits across Basic I/O/String Processing, Pattern/Formatting, and Arithmetic/Calendar/Math. The work established a solid foundation of reusable problem-solving templates and robust implementations, accelerating onboarding and future feature work. No major defects fixed this month; focus was on feature delivery, code stabilization, and preparing testing scaffolds for continued quality. Technologies/skills demonstrated include: Java, algorithm design, I/O handling, string manipulation, pattern generation, and modular arithmetic. Edge-case handling (e.g., palindrome checks, ASCII operations) was exercised to ensure correctness across diverse inputs.
18 Commits • 3 Features
Feb 1, 2025February 2025 performance summary for CODE-U-S/Coding_Test_Study. Delivered three Java-based BOJ practice modules with 19 commits across Basic I/O/String Processing, Pattern/Formatting, and Arithmetic/Calendar/Math. The work established a solid foundation of reusable problem-solving templates and robust implementations, accelerating onboarding and future feature work. No major defects fixed this month; focus was on feature delivery, code stabilization, and preparing testing scaffolds for continued quality. Technologies/skills demonstrated include: Java, algorithm design, I/O handling, string manipulation, pattern generation, and modular arithmetic. Edge-case handling (e.g., palindrome checks, ASCII operations) was exercised to ensure correctness across diverse inputs.
February 2025
January 2025
16 Commits • 2 Features
Jan 1, 2025January 2025 performance for CODE-U-S/Coding_Test_Study focused on delivering feature-rich analytics capabilities and practical coding practice solutions, with no major bugs fixed this month. Key features delivered included the Cross-Domain Analytics and Reporting Suite, consolidating analytics queries across domains to drive business insights (e.g., sales by category, top favorites, high-value users, HR salary analytics, animal welfare metrics, used goods engagement, order status classification, vehicle rental activity, file attachment insights, and related statistics); and Programming Practice Solutions, implementing coding challenge solutions and basic IO tasks to demonstrate problem-solving techniques.
January 2025
16 Commits • 2 Features
Jan 1, 2025January 2025 performance for CODE-U-S/Coding_Test_Study focused on delivering feature-rich analytics capabilities and practical coding practice solutions, with no major bugs fixed this month. Key features delivered included the Cross-Domain Analytics and Reporting Suite, consolidating analytics queries across domains to drive business insights (e.g., sales by category, top favorites, high-value users, HR salary analytics, animal welfare metrics, used goods engagement, order status classification, vehicle rental activity, file attachment insights, and related statistics); and Programming Practice Solutions, implementing coding challenge solutions and basic IO tasks to demonstrate problem-solving techniques.
December 2024
19 Commits • 7 Features
Dec 1, 2024December 2024: Delivered a comprehensive analytics feature set across seven domains, enabling data-driven decisions in operations, pricing, and workforce planning. Implemented robust data queries and reports with batch-processing patterns and domain-driven abstractions, improving data accuracy and cross-domain visibility.
19 Commits • 7 Features
Dec 1, 2024December 2024: Delivered a comprehensive analytics feature set across seven domains, enabling data-driven decisions in operations, pricing, and workforce planning. Implemented robust data queries and reports with batch-processing patterns and domain-driven abstractions, improving data accuracy and cross-domain visibility.
December 2024
November 2024
24 Commits • 11 Features
Nov 1, 2024November 2024 performance summary for CODE-U-S/Coding_Test_Study: Delivered a comprehensive set of features spanning Lv0 foundational tasks through Lv3 advanced constraints and multiple analytics workloads. Implemented core data processing, algorithmic problem solving, item upgrade constraint analysis, and business analytics, establishing a solid base for data-driven decision making. Focused on reliable, reusable components with clear traceability to commits and repository codebase.
November 2024
24 Commits • 11 Features
Nov 1, 2024November 2024 performance summary for CODE-U-S/Coding_Test_Study: Delivered a comprehensive set of features spanning Lv0 foundational tasks through Lv3 advanced constraints and multiple analytics workloads. Implemented core data processing, algorithmic problem solving, item upgrade constraint analysis, and business analytics, establishing a solid base for data-driven decision making. Focused on reliable, reusable components with clear traceability to commits and repository codebase.
Activity
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Quality Metrics
Correctness98.4%
Maintainability97.4%
Architecture95.8%
Performance96.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaPythonSQL
Technical Skills
2D ArraysAlgorithmAlgorithm ImplementationAlgorithmsArray ManipulationBacktrackingBasic ArithmeticBasic ProgrammingCompetitive ProgrammingConsole OutputData AnalysisData StructuresDatabaseDatabase QueryingDynamic Programming
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