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Priyam Ganguly
Priyam Ganguly
is an accomplished data engineer, analyst, and academic contributor with a career spanning various industries and roles. Currently working as a Data Analyst at Hanwha QCells America, Priyam specializes in leveraging tools like Tableau, Snowflake, and SQL to drive business intelligence and operational efficiency. His work has significantly impacted the energy, fulfillment, and financial sectors by developing data-driven solutions and optimizing decision-making processes. Priyam is also a recognized IEEE researcher and peer reviewer, contributing to high-impact AI and computational intelligence research. His scholarly contributions include several published papers on topics like deep learning in healthcare and advanced AI architectures for predictive analytics. As a program committee member, he has played an instrumental role in curating and enhancing the quality of research for various events. Beyond academia, Priyam has judged globally prestigious awards like the Globee Awards and Brandon Hall Excellence Awards, assessing innovations across technology and business domains. He is actively involved in judging hackathons, aimed at fostering STEM education among students and professionals. As a keynote speaker, Priyam has delivered thought leadership on topics like ethical data visualization, AI transformation, and advancements in analytics. His multidisciplinary expertise and commitment to advancing AI scholarship make him a prominent figure at the intersection of academia and industry.
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