Director, Data Science & Engineering Practice
- Cal Zemelman serves as Director of CVP’s Data Science & Engineering practice, focusing on Data Systems, Data Engineering, Descriptive Analytics, and Predictive Analytics. Cal has 15 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 CVP, 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, 13 data sources, and 24×7 operations.
- Cal holds 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.