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Dan Wilhelm

Data Science Consultant

Los Angeles

Dan Wilhelm independently consults in data science and software development with a focus in machine learning. He has developed four complete flagship products for three startups, from ideation to deployment, in addition to numerous solutions for companies in search, natural language processing, and machine learning. Dan teaches data science and web development at General Assembly, authored open source neural network software for Google Summer of Code, wrote a book chapter on AI, and interned at Microsoft and two national laboratories. Dan was a Dept. of Homeland Security graduate fellow, receiving an MS from Caltech in Computation and Neural Systems and a BS from Purdue University in Computer Engineering. For fun, he has performed in over 200 improv shows.

In recognition of his exemplary service in the classroom, Dan has been selected as a member of General Assembly's Distinguished Faculty program.

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