Charles has a B.S. in Chemical Engineering and in Technical Writing and Communications from Carnegie Mellon University. He discovered and developed his passion for big data over the past three years in the manufacturing industry. There he solved quality and production issues and also created tools to automate and optimize steelmaking processes. His various roles included quality engineer, process engineer and environmental engineer. His capability to collect, understand, and presenting data and design experiments were critical in all of these positions. For his final project, Charles used yelp Data to create an application that would help small business owners identify problems from text mining reviews – not only for their restaurant but also others within their market sector.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
