Brad Rice

Brad Rice

Aboriginal Cadetship (Information Systems) @ Chevron

About Brad Rice

Brad Rice is currently an Aboriginal Cadetship (Information Systems) at Chevron, with a background in tutoring, race engineering, and retail, and holds a Master of Computer Science from the University of Wollongong.

Education and Expertise

Brad Rice holds both a Master of Computer Science and a Bachelor of Mathematics from the University of Wollongong. His master's studies included a double major in Big Data and Machine Learning, as well as Network and Information Security. He has strong expertise in reinforcement learning, focusing specifically on Deep Q agents. Additionally, his academic background has equipped him with a solid foundation in mathematics, statistics, and probability theory. Brad is proficient in multiple programming and scripting languages, including C++, R, Python3, Java, and MySQL.

Current Position at Chevron

Brad Rice is currently employed at Chevron under an Aboriginal Cadetship in Information Systems. In this role, he likely leverages his comprehensive background in computer science and his specialized knowledge in areas like machine learning and data security. This experience provides him with unique insights and skills valuable to Chevron's information systems projects.

Previous Experience at University of Wollongong

Brad Rice has diversified experience at the University of Wollongong, where he served as an Indigenous Tailored Academic Program Tutor from 2020 to 2021. He was also involved with UOW Motorsport as a Race Engineer from 2019 to 2021. During his time there, he contributed not only academically but also participated in practical, hands-on engineering projects.

Tutoring and Retail Experience

From 2019 to 2021, Brad Rice worked as a Tutor at Tutoring for Excellence in Wollongong, Australia. Concurrently, he gained extensive experience in retail, working at Super Retail Group as a Retail Team Member for nine years, from 2007 to 2016. These roles highlight his flexibility and capability in both educational and retail environments.

Integration of Emerging Technologies

Brad Rice has expressed a strong interest in integrating computer vision with emerging technologies, such as photogrammetry and object tracking with augmented reality. This interest aligns well with his foundational expertise in machine learning, making him a valuable asset in fields that are at the forefront of technological innovation.

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