During his past three years in the manufacturing industry, Charles has discovered and developed his passion for big data – not only to solve quality and production issues but also to create tools that automated and optimized steelmaking processes. He has rotated between the roles of quality engineer, process engineer and environmental engineer within EVRAZ inc. N.A.’s Leadership Development Program. In all these positions, his responsibilities of designing experiments, collecting, understanding, and presenting data were critical. He is now excited to join the big data industry and make the most of his experience here at Data Science Academy. Charles has a B.S. in Chemical Engineering, B.S. in Technical Writing and Communications from Carnegie Mellon University.
Introduction Back in the 1960s, Williamsburg, Brooklyn was a manufacturing hub that lacked glamour, but promised labor to thousands of lower income residents. The neighborhood attracted […]
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