TeogopK/Data_Structures_and_Algorithms_FMI
Dec 2024 – Oct 2025
2 Months active
Languages Used
MarkdownC++
Technical Skills
AlgorithmsData StructuresDocumentationProblem SolvingAlgorithm DesignArray Manipulation
Daria Lazarova
PROFILE
Daria Lazarova
Daria Lazarova contributed to the TeogopK/Data_Structures_and_Algorithms_FMI repository by enhancing both the documentation and the breadth of algorithmic practice materials. She expanded the root README to include categorized LeetCode problems and introduced an 'Additional tasks' section, supporting structured self-study for students. Daria implemented C++ solutions for several array and sorting problems, applying skills in algorithm design, data structures, and array manipulation. Her work focused on improving documentation clarity and maintainability, reorganizing practicum tasks, and ensuring consistency across materials. These efforts streamlined onboarding and assessment, providing a more accessible and comprehensive resource for learners and instructors alike.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
4
Lines of code
383
Activity Months2
Your Network
14 people
Work History
October 2025
5 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for TeogopK/Data_Structures_and_Algorithms_FMI: Delivered enhancements to LeetCode practice materials and practicum documentation, improving learning resources and alignment with course objectives. Expanded root README practice material with Sort Array By Parity and introduced an 'Additional tasks' section with Easy/Medium/Hard problems. Updated Week 3 practicum README for Group 1, reorganizing tasks and listing LeetCode problems by difficulty, including linked list problems. Implemented C++ solutions for multiple LeetCode problems and ensured documentation consistency across the repo. This work strengthens onboarding, practice coverage, and self-paced learning for students and engineers.
5 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for TeogopK/Data_Structures_and_Algorithms_FMI: Delivered enhancements to LeetCode practice materials and practicum documentation, improving learning resources and alignment with course objectives. Expanded root README practice material with Sort Array By Parity and introduced an 'Additional tasks' section with Easy/Medium/Hard problems. Updated Week 3 practicum README for Group 1, reorganizing tasks and listing LeetCode problems by difficulty, including linked list problems. Implemented C++ solutions for multiple LeetCode problems and ensured documentation consistency across the repo. This work strengthens onboarding, practice coverage, and self-paced learning for students and engineers.
October 2025
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024: Focused on improving task documentation quality for the Data Structures and Algorithms FMI repo. Delivered Week 9 practicum tasks documentation in Tasks.md with an initial LeetCode/HackerRank task set, followed by cleanup to remove a commented-out item, fix duplicates, and eliminate an extraneous listing. This enhances clarity for students, accelerates assessment, and supports smoother onboarding. No major bugs fixed this period; emphasis was on documentation hygiene and maintainability. Demonstrated strong attention to detail, version control discipline, and clear communication through focused commits across the timeline.
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024: Focused on improving task documentation quality for the Data Structures and Algorithms FMI repo. Delivered Week 9 practicum tasks documentation in Tasks.md with an initial LeetCode/HackerRank task set, followed by cleanup to remove a commented-out item, fix duplicates, and eliminate an extraneous listing. This enhances clarity for students, accelerates assessment, and supports smoother onboarding. No major bugs fixed this period; emphasis was on documentation hygiene and maintainability. Demonstrated strong attention to detail, version control discipline, and clear communication through focused commits across the timeline.
Activity
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Quality Metrics
Correctness95.6%
Maintainability93.4%
Architecture88.8%
Performance88.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Markdown
Technical Skills
Algorithm DesignAlgorithmsArray ManipulationData StructuresDocumentationMerge SortProblem SolvingSortingTwo Pointers
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