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A data analytics case study on India’s Quick Commerce (Q-Commerce) market. This project explores customer behavior, delivery trends, product insights, and operational performance using a simulated dataset. Focused on deriving actionable business insights for strategy and growth in the Q-Commerce sector.
Discover techniques to visualize leading hotel brands by inventory share in India using .NET MAUI Lollipop Charts from the Toolkit. Learn about custom styling and interactive features to deliver comprehensive data visualization for better insights.
A multi-agent, streaming financial intelligence terminal for the Indian retail investor. Built with a 13-agent reasoning swarm (Gemini 2.0 Flash) and Pathway's streaming engine, it delivers deterministic, sub-2s market insights by fusing technical trends, corporate filings, and India-specific regulatory data (NSE/NSDL).