
Anshika Popli contributed to the GDG-IGDTUW/DSA-1 repository by developing two algorithmic features and performing repository maintenance within a month. She implemented a C++ solution for rotating an image 90 degrees clockwise, utilizing matrix transposition and row reversal to achieve efficient in-place manipulation. Additionally, she provided both brute force and optimized approaches for the Time Needed to Buy Tickets problem, including example usage to aid onboarding. Her work emphasized clean code and maintainability, as she removed unnecessary executables and editor configurations. Anshika applied skills in C++, algorithm design, and data structures, demonstrating depth in practical problem solving and codebase hygiene.

January 2025 — Delivered practical algorithmic features for GDG-IGDTUW/DSA-1 while cleaning up the repository to improve maintainability and onboarding. The work emphasizes business value by providing ready-to-run interview-ready solutions and a clean codebase for faster iteration.
January 2025 — Delivered practical algorithmic features for GDG-IGDTUW/DSA-1 while cleaning up the repository to improve maintainability and onboarding. The work emphasizes business value by providing ready-to-run interview-ready solutions and a clean codebase for faster iteration.
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