Summary
Shabbir Hasan is a Lead Data Scientist based in Sydney with nearly a decade of experience building and deploying ML-driven solutions that translate directly into operational and financial impact. He has led greenfield initiatives and end-to-end delivery—designing DS strategies, roadmaps, and retraining pipelines—most recently architecting a mathematical optimisation algorithm to enable a $350M automated warehouse. Comfortable translating technical trade-offs for non-technical stakeholders, he combines operations research, Python engineering, and cloud deployment (AWS/Azure) to scale models across sites and save hundreds of thousands annually. His background spans product-focused ML work (propensity, NLP, lead-distribution) and hands-on software engineering, giving him a rare mix of algorithmic depth and production rigor. Colleagues rely on him for pragmatic, resource-aware plans that turn exploratory models into repeatable, measurable systems.
9 years of coding experience
9 years of employment as a software developer
Master's degree, Master's of Data Science, Master's degree, Master's of Data Science at Monash University
English