Dan Elias
Data Scientist
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolDan Elias is a data scientist and quantitative finance professional with eight years in applied AI and a long background in derivatives trading and risk. Based in Sydney, he blends machine learning, text analytics and production-grade Python engineering to deliver explainability libraries, real-time fuzzy matching and scalable record linkage solutions at Commonwealth Bank’s AI Labs. His earlier roles spanned government analytics, systematic trading using news-driven signals, and product work building Python bindings for quant libraries, reflecting rare fluency across research, engineering and markets. He holds degrees in engineering, economics and a Master of Data Science (Dean’s List) and carries CFA, CAIA and CIPM credentials, enabling rigorous, regulator-minded model development. Notably, he has invented novel indexing methods for record linkage and productionized model-uniformity measurement techniques that improve fairness and operational robustness.
8 years of coding experience
22 years of employment as a software developer
The University of SydneyYeshivah CollegeThe University of Melbourne
English, עברית
Github Skills (15)
duplicate10
record-linkage10
duplicate-detection10
entity-resolution10
data-matching10
linkage9
similarity9
javascript9
open-source9
deduplication8
python8
modular7
privacy7
machine-learning7
data-protection6
Programming languages (2)
Github contributions (5)
dan-elias/neighbourhood_blocking
Feb 2018 - Dec 2018
Contributions:12 commits, 10 pushes, 1 branch in 11 months
dan-elias/dockash
Aug 2021 - Apr 2023
Contributions:33 pushes, 1 branch in 1 year 7 months
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