Samuel Shamiri
Data Scientist Econometrician
Canberra, Australia
Summary
👤
Senior🎓
Top SchoolSamuel Shamiri is a Data Scientist and Econometrician with 11 years of experience applying statistical modeling, ML, and cloud-native AI—particularly on Azure—to public sector workforce and skills policy in Australia. With a PhD in Statistics and Actuarial Science, he has led end-to-end data products and econometric analyses at agencies like Jobs and Skills Australia and the National Skills Commission, translating complex models into policy-ready insights. He combines hands-on expertise in LLMs, NLP, predictive modeling, Python/R, SQL and Azure ML with production deployment experience, often bridging prototyping and scalable solutions. His background in hierarchical Bayesian methods and missing-data imputation complements applied econometrics, making him adept at extracting robust signals from noisy administrative and survey data. Colleagues rely on him to turn technical analysis into actionable recommendations for diverse stakeholders while streamlining operational decisions.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics and Actuarial Science, Doctor of Philosophy (PhD), Statistics and Actuarial Science at School of Mathematical Sciences, National University Malaysia
Stackoverflow
137reputation
9kreached
2answers
9questions
Github Skills (12)
html6
rcpp6
css6
aggregate6
armadillo6
cluster-analysis6
google-maps6
r6
shiny1
filter1
cascading1
act1
Programming languages (1)
Github contributions (5)
SShamiri/Other
Aug 2018 - Aug 2024
Contributions:132 pushes, 1 branch in 6 years 1 month
SShamiri/jsar
Aug 2024 - Sep 2024
Collection of useful R functions
Contributions:1 review, 19 PRs, 36 pushes in 21 days
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