Timothy Hyndman is a Data Science Lead based in Melbourne with a PhD in Mathematics and nine years’ experience turning probabilistic theory into production-ready ML solutions. He combines deep statistical expertise with strong software and DevOps skills—Python-centred engineering, AWS/SageMaker deployments, CI/CD, Docker and Airflow—to deliver end-to-end data products. At SEEK and previously leading analytics teams at Predictive Analytics Group and Biarri, he’s driven projects from prototype to scalable pipelines while mentoring cross-functional teams. Known for rapidly learning new technologies, he pairs rigorous model development (TensorFlow, PySpark, scikit-learn) with practical deployment practices and an emphasis on robust, efficient code. An underrated strength is his applied mathematics background, which he leverages to simplify complex models into actionable, business-focused solutions.
9 years of coding experience
6 years of employment as a software developer
The University of Melbourne
Bachelor of Science - B.Sc.(Hons) Mathematics, Bachelor of Science - B.Sc.(Hons) Mathematics at Monash University
Contributions:16 commits, 3 PRs, 17 pushes in 2 years 3 months
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