Zhi Tom is a data scientist and researcher with nine years' experience applying machine learning and advanced analytics to public sector and commercial problems across Greater Melbourne. Currently undertaking a PhD at the University of Melbourne while working as a senior data specialist at the Department of Justice and Community Safety, he bridges rigorous academic methods with pragmatic data engineering in Azure Databricks. His recent work has focused on streamlining transport and justice datasets to improve operational decision-making and policy insights. Comfortable moving between research and production, he has supported teaching in data and analytics and previously contributed to analytics teams at Shopee and 2U. Colleagues describe him as someone who combines deep technical skill with a curiosity for turning theoretical models into actionable, policy-relevant solutions.
9 years of coding experience
Foundation Studies Science, Foundation Studies Science at Trinity College, the University of Melbourne
Contributions:8 commits, 4 pushes, 1 branch in 11 months
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