Erika Duan

Principal Data Scientist

Canberra, Australia
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Summary

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Senior
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Top School
Erika Duan is a Principal Data Scientist based in Canberra with eight years’ experience applying statistical and machine learning methods to government and research problems. She leads multidisciplinary data science teams at the Australian Bureau of Statistics after prior roles delivering applied modelling and program leadership at the Department of Employment, Skills, Small and Family Business and in university research. Erika’s background—PhD in Immunology and a Graduate Certificate in Actuarial Statistics—enables her to bridge deep domain science with robust quantitative methods, from unsupervised learning to policy-focused analytics. She has a track record of building collaborative partnerships, securing research funding, mentoring early-career researchers, and shaping data governance and ethics in laboratory and public-sector contexts. Colleagues recognise her for translating complex methodology into practical, auditable solutions that inform policy and operational decision-making.
code8 years of coding experience
job8 years of employment as a software developer
bookAustralian National University
bookThe University of Melbourne
languagesEnglish, Chinese
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Github Skills (28)

algebra10
data-science10
r10
mathematics10
statistics10
machine-learning10
data-visualisation10
calculus10
statistical-models10
data-cleaning10
data-visualization10
r-programming10
linear-algebra10
python9
r-package8

Programming languages (4)

RJavaScriptHTMLRuby

Github contributions (5)

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erikaduan/introductory_maths

Dec 2019 - Jan 2023

Simple summaries of mathematical concepts required for statistics and machine learning
Contributions:104 commits, 6 PRs, 118 pushes in 3 years 1 month
machine-learningstatisticsalgebramatricescalculus
erikaduan/erikaduan

Jun 2021 - Jul 2025

Contributions:4 PRs, 25 pushes, 4 branches in 4 years 1 month
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