Naman is a dynamic data engineering and analytics professional with a proven track record of helping startups scale by building robust, scalable analytics systems. With a deep passion for solving complex data challenges, he specializes in creating transformative data solutions that streamline operations, enhance decision-making, and drive measurable growth.

Throughout his career, Naman has collaborated with startups and growing organizations to implement scalable architectures and data-driven insights. His ability to deliver solutions—such as predictive models, real-time systems, and tailored dashboards—has enabled businesses to better understand their metrics, reduce inefficiencies, and make strategic, data-backed decisions.

Naman’s entrepreneurial mindset, honed through diverse roles in analytics engineering and real-time pipeline development, is grounded in a strong academic foundation: an MS in Data Science from The University of Chicago and a BS in Statistics from NMIMS. He combines technical expertise with business acumen to empower organizations to harness the full potential of their data.