Anjin Liu
Senior Data Scientist
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolAnjin Liu is a Senior Data Scientist and former UTS postdoctoral researcher with seven years of industry and academic experience building production ML systems and publishing over 20 papers on concept drift, data stream mining and ensemble learning. He has led teams to deploy real-time, cloud-native models at scale—most recently architecting offer allocation, multi-touch attribution and GNN-based recommendation systems impacting millions of customers at WooliesX—and now drives data science initiatives at Commonwealth Bank. His background blends rigorous research (PhD in AI/ML) with hands-on engineering: time-series forecasting, churn prediction and real-time carriage-load estimation for Sydney Trains. Skilled at mentoring PhD candidates and contributing to top AI conferences and journals, he also pioneers practical GenAI tooling for internal knowledge search—an indicator of his focus on making advanced research immediately usable in enterprise settings.
8 years of coding experience
5 years of employment as a software developer
The University of SydneyDoctor of Philosophy (Ph.D.) Artificial Intelligence Machine Learning Data Mining, Doctor of Philosophy (Ph.D.) Artificial Intelligence Machine Learning Data Mining at University of Technology Sydney
Chinese, English
Github Skills (8)
scikit5
stream4
arff3
moa3
scikit-learn2
machine-learning2
streaming-data2
python2
Programming languages (2)
Github contributions (5)
Anjin-Liu/ConceptDriftDatasets
Aug 2018 - Jun 2019
Contributions:20 commits, 11 pushes in 9 months
Anjin-Liu/anjin-liu.github.io
Aug 2018 - Jul 2021
Contributions:8 commits, 6 pushes, 1 branch in 2 years 11 months
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