Thomas brings a unique blend of skills and experiences to the team. While pursuing his Master of Mechatronic Engineering at the University of Melbourne, Thomas integrates his academic knowledge with practical expertise.

His diverse background in robotics, aerospace, and data means that he brings a variety of skills and experiences to Energise. Thomas provides an analytical and data driven approach to his work at Energise, providing insightful analysis of complex problems. Thomas offers the following areas of expertise:

  • Developing models and deriving analytical insight from complex data.
  • Experience in Machine Learning development and designing optimisation algorithms.
  • Software development experience in most major languages, including Python, C, R, and Java.
  • Strong communication and presentation skills.
  • Excels in collaborative problem-solving within a team setting
  • Academic degrees in Science and Engineering.

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