Dr Eugene Dubossarsky​

Eugene is passionate about data. What it is, what it does, how it can be best utilised to provide the best solutions.

He enjoys the challenges of finding the best solutions to complex issues and is an excellent educator in the area of data and predictive analytics, data governance and machine learning.

When he is not working with commercial data analytics, he likes to spend time with groups of like-minded people to the extent that he has founded several organisations including The Australia New Zealand Data Analytics Network, with over 20,000 members.

Key Skills and Experience
  • Machine Learning / Artificial Intelligence
  • Data Science
  • Forecasting
  • Statistics
  • Anomaly Detection
  • Communication
  • Stakeholder Management
  • Mentoring
  • Executive advisory
  • Training
  • Data Driven decision making and strategy
Experience Relevant to Role Proposed for:

Network routing and optimisation of rail networks for mining – Operations Research Group – 1998

Key advisor role on creation of a machine-learning based border protection system at Australian Dept of Immigration 2008-2011

Strategic advisory and capability development – creation and initial development of a Data Analytics team, advisor to Strategy Team – Australian power generation company – 2014-2015

Specialist data analyst / machine learning expert role : anomaly detection in energy networks – saving the client tens of millions of dollars – 2016 for an Australian power generation company

Key advisor role – machine learning and statistical advisor role : creation of an energy demand forecasting tool for Australian power generation company 2017-2018

Qualifications & Training
  • Ph.D. in Computing Science from the University of Technology, Sydney. (2000)
  • Bachelor of Science (Honours) in Computer Science and Mathematics from the University of NSW (1994)
Reference contact to support past performance in a project of a similar size and scale