
Jiya Batra developed a suite of data structure utilities for the GDG-IGDTUW/DSA-1 repository, focusing on memory-efficient algorithms in Java and Python. Over two months, she engineered in-place binary tree flattening, level order and zigzag traversals, and a binary search-based peak element finder for arrays, enabling faster data processing and reusable downstream utilities. Her work also included a comprehensive Linked List Operations Library, implementing features such as merging sorted lists, bubble sort, sum of numbers, palindrome checks, and node swapping by position. The solutions emphasized correctness, edge-case handling, and API usability, reflecting strong algorithm design and development skills.

February 2026 monthly summary for GDG-IGDTUW/DSA-1. Focused on delivering core data-structure capabilities with memory-efficient algorithms and reusable utilities. No explicit major bugs reported this month; improvements centered on correctness, edge-case handling, and API usability for linked-list and tree-based transformations. Key outcomes include in-place Binary Tree flattening and a reusable Linked List Operations Library.
February 2026 monthly summary for GDG-IGDTUW/DSA-1. Focused on delivering core data-structure capabilities with memory-efficient algorithms and reusable utilities. No explicit major bugs reported this month; improvements centered on correctness, edge-case handling, and API usability for linked-list and tree-based transformations. Key outcomes include in-place Binary Tree flattening and a reusable Linked List Operations Library.
January 2026 monthly summary for GDG-IGDTUW/DSA-1: Delivered a cohesive set of data-structure utilities across binary trees, linked lists, and arrays. Implemented in-place binary tree flattening to a right-skewed linked list, level order traversal, and zigzag traversal; added Linked List Operations Suite (merge two sorted lists and bubble sort); and implemented a binary search-based peak element finder for arrays. These features improve memory efficiency, enable faster data processing, and provide reusable utilities for downstream services.
January 2026 monthly summary for GDG-IGDTUW/DSA-1: Delivered a cohesive set of data-structure utilities across binary trees, linked lists, and arrays. Implemented in-place binary tree flattening to a right-skewed linked list, level order traversal, and zigzag traversal; added Linked List Operations Suite (merge two sorted lists and bubble sort); and implemented a binary search-based peak element finder for arrays. These features improve memory efficiency, enable faster data processing, and provide reusable utilities for downstream services.
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