
Sonam developed three business-focused features in the GDG-IGDTUW/DSA-1 repository, leveraging Java, algorithms, and data structures. She implemented a leaderboard-style ranking system for Relative Ranks, enabling applications to assign Gold, Silver, and Bronze positions based on score order. For Car Fleet, she modeled fleet formation to support routing and traffic analysis, calculating how groups of cars reach a target. Additionally, she built a text-processing utility to sort characters by frequency, supporting analytics and UI optimizations, and addressed a refactor-induced issue to restore intended behavior. Her work demonstrated depth in algorithmic problem-solving and practical application integration within Java environments.
January 2025 — Delivered three business-valued features in GDG-IGDTUW/DSA-1: Relative Ranks (Java-based leaderboard-like ranking), Car Fleet (fleet-counting for routing/traffic analysis), and Sort Characters By Frequency (frequency-based text-processing utility with refactor safeguards). Also fixed a refactor-induced issue in Sort Characters By Frequency to restore intended behavior. These workstreams enable analytics-ready ranking, routing-aware fleet insights, and efficient text processing, supporting UI/text optimizations and data-driven decision-making across applications.
January 2025 — Delivered three business-valued features in GDG-IGDTUW/DSA-1: Relative Ranks (Java-based leaderboard-like ranking), Car Fleet (fleet-counting for routing/traffic analysis), and Sort Characters By Frequency (frequency-based text-processing utility with refactor safeguards). Also fixed a refactor-induced issue in Sort Characters By Frequency to restore intended behavior. These workstreams enable analytics-ready ranking, routing-aware fleet insights, and efficient text processing, supporting UI/text optimizations and data-driven decision-making across applications.

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