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Cody Mitchell
Lead Machine Learning Engineer - ML Driven Supply Chain Mapping and Modeling for Interos
Cody Mitchell is a data science professional with extensive knowledge in various areas of data science such as data processing, machine learning, natural language processing, statistical programming, computer vision, and data communication.
Currently, Cody works as a full-time Data Science Consultant while pursuing a PhD in Computational Sciences & Informatics and holds a Master's degree in Data Analytics Engineering.
His technical stack includes Python, R, SQL, AWS, and Unix, while his data science skills encompass machine learning, natural language processing, statistical programming, databases, predictive analytics, consulting, product management, data visualization/communication, and healthcare analytics.
He pursued a Bachelor's degree in Chemistry and Economics from Washington & Jefferson College, a PhD in Computational Sciences and Informatics from George Mason University, and a Master of Science in Data Analytics Engineering with a focus on Predictive Analytics from George Mason University.
Throughout his career, Cody has held positions such as Lead Machine Learning Engineer at Interos Inc, Lead Data Scientist at Excella, Data Scientist at Excella, Senior Consultant specializing in Health Data Science at Booz Allen Hamilton, Bioinformatics Programmer at Lockheed Martin, Subcontract Administrator at Lockheed Martin, Laboratory Assessor at AASHTO Materials Reference Laboratory, Equity Research Intern at Schenley Park Advisors, Summer Research Assistant at West Virginia University Nanotechnology REU, Chemical Hygienist Assistant at Washington and Jefferson College, and Assistant Crew Leader at the US Census Bureau.