GDG-IGDTUW/DSA-1
Jan 2026 – Jan 2026
1 Month active
Languages Used
C++
Technical Skills
C++C++ programmingalgorithm designalgorithm developmentbinary tree traversaldata structures
keerat kaur
PROFILE
Keerat Kaur
Keerat Kaur contributed to the GDG-IGDTUW/DSA-1 repository by developing eight algorithmic features in C++, focusing on graph theory, data structures, and grid traversal. She implemented depth-first search algorithms for bipartite graph checks and connected component analysis, and designed a stack using a queue to enhance data handling flexibility. Her work included optimizing grid enclave counting with iterative DFS, maximizing triangle perimeters, and applying greedy algorithms for cookie assignment. Keerat also improved codebase organization and developed binary tree utilities for path sum and balance checks, demonstrating depth in algorithm design, recursion, and maintainable C++ programming within a collaborative project environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
8
Lines of code
602
Activity Months1
Your Network
53 people
Work History
January 2026
12 Commits • 8 Features
Jan 1, 2026January 2026 performance summary for GDG-IGDTUW/DSA-1 focused on delivering robust algorithm implementations, improving maintainability, and expanding problem-solving coverage across graphs, data structures, grids, trees, and math. The month emphasized delivering business-value features, CPU-efficient solutions, and a cleaner codebase to accelerate learning, collaboration, and future extendability.
12 Commits • 8 Features
Jan 1, 2026January 2026 performance summary for GDG-IGDTUW/DSA-1 focused on delivering robust algorithm implementations, improving maintainability, and expanding problem-solving coverage across graphs, data structures, grids, trees, and math. The month emphasized delivering business-value features, CPU-efficient solutions, and a cleaner codebase to accelerate learning, collaboration, and future extendability.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture91.6%
Performance91.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ programmingalgorithm designalgorithm developmentbinary tree traversaldata structuresdepth-first searchfile managementgraph theorygreedy algorithmsgrid traversalproject organizationrecursion
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