GDG-IGDTUW/DSA-1
Jan 2026 – Jan 2026
1 Month active
Languages Used
C++
Technical Skills
C++C++ programmingalgorithm designalgorithm developmentdata structureslinked lists
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PROFILE
Avnigoel54-rgb
Avni Goel developed core data structure utilities for the GDG-IGDTUW/DSA-1 repository, focusing on accelerating business-critical data processing. She implemented reusable helpers in C++ for string and array operations, including anagram checks, sliding window algorithms, binary search, array rotation, and Kadane’s algorithm, all designed to streamline analytics pipelines. Her work also included linked list utilities for calculating maximum twin sums and converting binary numbers in linked lists to decimal, supporting efficient data representation. Additionally, she delivered matrix utilities for spiral order traversal and in-place zeroing, optimizing memory usage. The work demonstrated depth in algorithm design and data structures.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
3
Lines of code
203
Activity Months1
Your Network
53 people
Work History
January 2026
9 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for GDG-IGDTUW/DSA-1: Delivered core data-structure utilities across string/array, linked list, and matrix domains to accelerate business-critical data processing tasks. Implemented reusable helpers: string and array operations (anagrams check, sliding window problems, binary search, array rotation, and Kadane's algorithm) to speed up analytics pipelines; linked-list utilities (maximum twin sum and converting a binary number in a linked list to decimal) to support streaming and compact data representations; matrix utilities (spiral order traversal and in-place zeroing using first row/column as markers) to optimize memory usage in data transforms.
9 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for GDG-IGDTUW/DSA-1: Delivered core data-structure utilities across string/array, linked list, and matrix domains to accelerate business-critical data processing tasks. Implemented reusable helpers: string and array operations (anagrams check, sliding window problems, binary search, array rotation, and Kadane's algorithm) to speed up analytics pipelines; linked-list utilities (maximum twin sum and converting a binary number in a linked list to decimal) to support streaming and compact data representations; matrix utilities (spiral order traversal and in-place zeroing using first row/column as markers) to optimize memory usage in data transforms.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability91.2%
Architecture91.2%
Performance88.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ programmingalgorithm designalgorithm developmentdata structureslinked lists
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