Dickson Kwong

Principal Data Scientist

Melbourne, Victoria, Australia
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Summary

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Senior
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Top School
Dickson Kwong is a Principal Data Scientist based in Melbourne with over a decade of experience architecting and scaling ML solutions across telco, marketplace, retail and energy sectors. He combines hands-on model development—real-time recommendations, propensity models, CTV engines—with MLOps and infrastructure-as-code practices to move projects from R&D into robust production on platforms like Databricks. At TPG Telecom and Airtasker he established coding standards, drafted MLOps frameworks, and led cross-functional initiatives that improved retention, pricing and lifetime value. A founder-level contributor to data product teams, he has a track record of building internal SDKs and standardized pipelines that raise team velocity and maintainability. Trained in mathematics and computer science at the University of Washington, Dickson pairs practitioner-level engineering discipline with business-focused impact and a history of coaching teams to adopt production-grade ML.
code11 years of coding experience
job9 years of employment as a software developer
bookBachelor of Science (B.S.) Mathematics and Computer Science, Bachelor of Science (B.S.) Mathematics and Computer Science at University of Washington
bookData Science Data Science, Data Science Data Science at General Assembly
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Github Skills (31)

topological-data-analysis8
projection8
dimensionality-reduction8
uniform7
approximation7
manifold6
levenshtein-distance5
machine-learning5
visualization5
evaluation4
string-matching4
edit-distance4
recall4
datasource3
tableau3

Programming languages (2)

C++Python

Github contributions (5)

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DicksonK/DS_HK_6

Jun 2015 - Jun 2015

Contributions:2 PRs, 1 push in 1 day
ga-students/DS_HK_13

Apr 2017 - Jun 2017

Contributions:14 pushes in 2 months
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Dickson Kwong - Principal Data Scientist