
Manya Arora developed two core features for the GDG-IGDTUW/DSA-1 repository, focusing on spatial queries and queue analytics using C++. She implemented an algorithm to efficiently identify the K closest points to the origin, leveraging a max-heap data structure to optimize distance calculations for scalable spatial operations. Additionally, she built a feature to compute the total time required for a target individual to purchase tickets in a queue, accounting for each person’s ticket count and position. Her work demonstrated solid application of algorithm design and data structures, delivering targeted solutions for data structure and algorithm use cases within one month.

January 2026 monthly summary for GDG-IGDTUW/DSA-1 focusing on feature delivery and performance improvements in spatial queries and queue analytics.
January 2026 monthly summary for GDG-IGDTUW/DSA-1 focusing on feature delivery and performance improvements in spatial queries and queue analytics.
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