James Baldo

James Baldo

Director, MS Data Analytics Program, George Mason University

James Baldo is currently the Director of the Data Analytics Engineering (DAEN) Program in the Volgenau School of Engineering at George Mason University. Baldo has been a practicing engineer for 39 years and served as an adjunct professor of engineering at George Mason University for 19 years prior to becoming the director of the DAEN program.

Baldo’s career includes 12 years at Federally Funded Research and Development Corporations, MITRE and Institute for Defense Analyses and 14 years with the Oracle Corporation. In addition, he has worked for Northrop Grumman, Unisys and Timeplex. His employment spans across both government and industry.

His engineering focus during the past 10 years has been on data analytics and cloud computing. Baldo’s primary work has been on projects that include the integration and utilization of analytics associated with data mining, machine learning and deep learning techniques and utilizing tools from programming languages such as Python to data science workbenches such as AWS SageMaker, IBM Watson Studio, etc. During this time period he has supported roles as a data engineer, data architect and data scientist.

Baldo’s experience as a practicing engineer has provided him with a great appreciation of educating engineers with a solid foundation in mathematics, science, statistics and engineering. As an instructor, Baldo packages theory and practice in his courses to prepare students for addressing real world problems.

Baldo has a Ph.D. in Information Technology from George Mason University, M.S. in Computer Engineering from University of South Florida, M.S. in Chemistry from University of Toledo and B.S. in Chemistry for Adrian College.

Data Impact in 2020

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Data Science is an interdisciplinary subject exploiting and researching methods and tools from statistics, multiple application domains, and computer science to process data, structured or unstructured, in order to gain meaningful insights, knowledge and predictive analytics. Today, one can almost guarantee every scientist and engineer will consistently come into contact with data, no matter the […]

Data Impact