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Ijeoma Ndu is a machine learning engineer who is currently employed at Audette. Ijeoma has a wealth of experience in the field, having worked as a technical advisor, machine learning engineer, and researcher in the past. Ijeoma's research has focused on using unsupervised machine learning to identify patterns in dense sensor data. Ijeoma has also developed lightweight algorithms for complex event detection in monitoring applications.

Ijeoma Ndu has a Nanodegree from Udacity in Machine Learning Engineer with Azure, a Doctor of Philosophy - PhD in Engineering from University of Aberdeen, and a Master of Science (M.Sc.) in Computer Engineering from Delft University of Technology. Ijeoma also has a Master of Engineering - MEng in Electronic Engineering from University of Nigeria, Nsukka and a B.Eng. in Electronic Engineering from University of Nigeria, Nsukka. Ijeoma also has certifications from Udacity in Machine Learning for Microsoft Azure Scholarship Challenge, Microsoft in Microsoft Certified: Azure Fundamentals, IBM in Data Analysis Using Python, DataCamp in Introduction to SQL, IBM in Python for Data Science, University of Aberdeen in Basic Statistics Course, Higher Education Academy, United Kingdom in Associate Fellow, and Council for Regulation of Engineering in Nigeria (COREN) in Registered Engineer.

Ijeoma Ndu reports to Gabriel Queiroz, Machine Learning Engineer.