With a knack for turning complex data into actionable insights, Curtis is a versatile consultant who excels in data science, machine learning, and dashboard design, seamlessly blending technical expertise with clear, client-focused communication.

Curtis works with public and private sector clients to lead a wide range of AI, data modeling, and IT projects. Through his role, he has designed and developed an enterprise data model and machine learning pipeline for monitoring operational performance, created analytic dashboards for both technical teams and the C-suite, and managed data warehouse and data management operations. Before joining the firm, he served as an instructor of management science and information systems at the Rutgers University School of Business, a research associate for the CCI Center for Advanced Data Analysis, and an operations research analyst for the U.S. Department of Defense.

Education and Certifications

• Ph.D. – Operations Research, Rutgers University
• B.S. – Mathematics, Physics, and Economics, Tulane University