Daniel Paparo is an Assistant Director and data leader with eight years' experience building ML-driven solutions and operationalising fraud detection across the Australian Public Service. He combines hands-on data science and engineering skills with strategic leadership—having progressed from graduate analyst to acting Director of Data Analytics—delivering robust, production-ready models and driving organisational data strategy. A UWA-trained computer and data scientist with a Master in Data Science, he is comfortable moving between research-grade AI techniques and pragmatic deployments that inform policy and risk decisions. Unusually, his background in theatrical audio-visual systems informs a practical, systems-oriented approach to tooling and cross-team collaboration.
8 years of coding experience
2 years of employment as a software developer
Master of Data Science, Data Science, Master of Data Science, Data Science at The University of Western Australia
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