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Before becoming a Developer Advocate at IBM, Nick studied computer science at Purdue University and the University of Southern California, and was a high performance computing consultant for Hewlett-Packard in Grenoble, France. He now specializes in machine learning and interacting with other data scientists of various communities, startups, and enterprises in order to help them succeed with open source and on IBM’s data science platform. His current areas of focus involve the utilization of machine learning to better understand how machine learning developers write code and solve problems as well as all things Kardashian.

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