Anthony Mockler
Data Scientist - East Asia & Pacific Regional Office
Melbourne, Victoria, Australia
Summary
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SeniorAnthony Mockler is a humanitarian data scientist with nine years’ experience applying machine learning and geospatial analysis to inform policy and emergency response across East Asia & the Pacific. At UNICEF he builds capacity with national statistics offices, estimates village-level wealth and poverty from satellite and large-scale datasets, and fast-tracks ML for decision-making in the first 72 hours after disasters. His toolkit spans Python, TensorFlow/Keras, Stan, Spark and modern MLOps (Airflow/Dagster), plus applied NLP and generative models for real-world problems. Before UNICEF he combined data science with political campaigning and civic tech—building predictive volunteer models, automated polling tools and the early truth-checking bot Truthbot. He blends rigorous statistical methods (including MRP) with product-minded delivery and a researcher’s curiosity, often turning archival or novel data sources into actionable insights. Based in Melbourne, he pairs empathy for disadvantaged communities with a track record of shipping practical, deployable ML in tough operating environments.
9 years of coding experience
7 years of employment as a software developer
English, French, Indonesian
Github Skills (36)
geospatial8
react-redux8
twilio8
mass7
visualization7
sms7
rethinkdb7
kepler7
gis7
data-visualization6
kepler-gl6
geospatial-analysis6
heroku6
scale6
large-scale6
Programming languages (5)
Github contributions (5)
ToolsForRadicals/spoke-deploy
Apr 2018 - Aug 2018
A web app to deploy github.com/MoveOnOrg/Spoke
Contributions:22 commits, 3 PRs, 12 pushes in 3 months
spokegithub-deployherokupythontwilio
AnthonyMockler/anthonymockler.github.io
Mar 2018 - Jun 2021
Contributions:29 pushes, 1 branch in 3 years 3 months
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