Ying Yang

Assistant Commissioner, Data Science at Australian Taxation Office

Based in Melbourne, Australia

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Seniority

Other

Department

Other

Location

Melbourne

Industry

Government Administration

Company size

9.5K

Contact information

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Email

1 credit

y•••••••@ato.gov.au

Phone

5 credits

+61 ••• •••• ••••

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Background

About Ying Yang

Dr. Ying Yang is an award-winning senior data scientist at the cutting edge of computer science and information technology. She is also a senior executive at the Australian Taxation Office (ATO), one of the largest government departments in Australia known for contemporary service, expertise and integrity. Ying has an outstanding track record of strategic leadership, technical excellence and people skills. She has achieved a remarkable career of industrialising state-of-the-art data science to transform businesses into data-driven, client-centric and contemporary services. She has successfully led and delivered numerous high-impact, large-scale and complex projects that are high-profile for the government and the Australian community.Ying is in charge of ATO's data science capability — over 100 data scientists who offer specialist skills and trusted advice on artificial intelligence, machine learning, deep learning, natural language processing, computer vision, mathematical and statistical modelling, graph analytics, behavioural analytics, visualisation and a lot more. The data scientists partner with stakeholders to deliver valued business outcomes that create data-driven growth and transformation.Ying is experienced in a wide range of • systems — Linux, Hadoop Ecosystem and Cloud Computing;• machine learning and artificial intelligence techniques — supervised learning, unsupervised learning, outlier detection, network analysis, recommendation system, visualisation, robotic process automation, et cetera; • algorithms — neural network, decision tree, random forest, Bayesian classifier, regression, ensemble learning, collaborative filtering, clustering, et cetera;• programming languages — R, Spark (Scala), Python, Perl, Java and C.

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