Dr. Kenechukwu ("Ken") Ezekwem is a Clinical Assistant Professor of Management & Analytics at the NYU School of Professional Studies. He focuses on the intersection of analytics, AI, and operations in business, designing context-aware, data-driven systems that improve performance and automate complex workflows. His applied experience spans the private, public, and non-profit sectors, where his work has demonstrably increased efficiency and reduced operational costs.

In his courses on database management, quantitative methods, and experimental design, Dr. Ezekwem emphasizes a hands-on, governance-minded approach. He prepares students for real-world analytical challenges by teaching them to leverage contemporary programming languages and enterprise-grade platforms to transform data into actionable business strategy.

His research explores how to apply emerging AI capabilities to solve practical business problems. This includes developing methods to turn messy, unstructured information into high-quality data and building reliable, scalable automation by integrating AI reasoning into core business processes. The goal of his work is to help organizations operate more intelligently and efficiently with relevant insights and automation.