Executive Director, Data Science & Engineering Practice
- Cal Zemelman is the Executive Director of CVP’s Data Science & Engineering Practice. In this role, he focuses on developing innovative data systems, data engineering, descriptive analytics, and predictive analytics solutions. Cal has fifteen years of technical expertise and thought leadership in enterprise data analytics, data warehouses (DW), machine learning, system development, automation (testing, process, integration), and cloud computing.
- Since joining the company, Cal has provided thought leadership and prototypes for advanced analytics, such as machine learning on unstructured data, interactive visualizations, and distributed databases. As Chief Technologist in CVP’s Big Data Lab, he has pioneered new capabilities, tools, and technologies using next-generation techniques, and conducts viability analyses for solutions that address emerging client needs. Cal delivers strong IT project management experience in Agile systems development lifecycle, including change management, stakeholder engagement, and quality assurance.
- Prior to joining CVP, Cal led the turnaround of a failed BI/DW implementation for the Marine Corps Exchange. The project went from 50 users, 2 data sources, 0 support personnel, and 8-hour-per-day unavailability to a team of 6 with 3,500 users, thirteen data sources, and 24/7 operations.
- Cal received an MS in Management of Information Technology from the University of Virginia and a BS in Information Systems and Policy and Management from Carnegie Mellon University. He is a Certified Amazon Web Services Solution Architect Professional, Google Cloud Professional Cloud Architect, and Google Cloud Professional Data Engineer.