Brendan Patch
Principal Data Scientist
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolBrendan Patch is a Principal Data Scientist based in Melbourne with 11 years of experience translating advanced applied probability and mathematical modelling into production analytics and ML systems. He combines a strong academic pedigree—PhD-level research and a published Python package for population-count inference—with hands-on delivery of government AI solutions, from OCR pipelines to a departmental LLM-powered chat assistant. Brendan has driven measurable improvements in operational accuracy and efficiency (including a 15% uplift when integrating Gemini on GCP) and built experimentation frameworks to validate model changes at scale. Comfortable bridging executive stakeholders and engineering teams, he also brings domain experience in energy systems, cyber security, and emergency services forecasting. Notably, his work blends rigorous theoretical foundations with pragmatic automation of ETL and reporting pipelines, enabling faster, auditable decision-making.
11 years of coding experience
11 years of employment as a software developer
Australian National UniversityDoctor of Philosophy - PhD, MATHEMATICS AND STATISTICS, Doctor of Philosophy - PhD, MATHEMATICS AND STATISTICS at The University of QueenslandDoctor of Philosophy - PhD, MATHEMATICS AND STATISTICS, Doctor of Philosophy - PhD, MATHEMATICS AND STATISTICS at University of Amsterdam
Github Skills (2)
github-enterprise8
git7
Programming languages (2)
Github contributions (5)
birdepy/paper
Oct 2021 - Nov 2024
A preprint of the paper (yet to be peer reviewed) associated with BirDePy.
Contributions:2 PRs, 1 push, 3 branches in 3 years 2 months
bpatch/bpatch.github.io
Dec 2018 - Jul 2021
Contributions:52 pushes, 1 branch in 2 years 6 months
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