Nitie Arhuidese

Nitie is a Systems Data Manager, focused on solving problems with Machine Learning, Data Science, Digital health, System Engineering and Human Factors. He draws his teachings from several years of experience in cross functional roles within multiple companies including Motorola, Huawei, Fossil Systems, and Motive Medical Intelligence. He enjoys working on all stages of data science, from identifying patterns in data to deploying models and building tools. He's passionate about Jesuit philosophy and teachings, adding value to student`s learning experience and making concepts easy to understand.

• Statistical computing
• Machine learning
• Natural language processing
• Data analytics
• EEG and signal analysis

• University of San Francisco, MS in Health Informatics
• University of Portsmouth, MS in Communications Systems Network Planning and Management
• University of Benin, B.Eng in Electrical Electronic Engineering