Aaron Rizzuto is a Lead Data Scientist based in Melbourne with 11 years of experience transitioning from astrophysics to industry-focused machine learning and data engineering. He has a proven track record of turning noisy, large-scale time-series data into discovery and product impact—having developed anomaly-detection algorithms that helped discover a large fraction of known young transiting exoplanets and the youngest known transiting hot Jupiter. In industry roles from staffing to senior positions he has applied those skills to production analytics, feature engineering, and explainable models to drive subscription growth and operational insights. Aaron blends deep quantitative modeling, parallel computing and Bayesian methods with hands-on mentoring and cross-institutional collaboration, making him as comfortable leading teams as shipping reproducible code. An accomplished scientist-turned-practitioner, he brings domain rigor and curiosity to practical business problems, often surfacing subtle signals others miss.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BSc), Mathematics and Physics, 1st Class Honours, Bachelor of Science (BSc), Mathematics and Physics, 1st Class Honours at Sydney University
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