Neil Crighton

Principal Data Analyst - Strategic Data Analysis Unit

Australia
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Summary

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Senior
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Top School
Neil Crighton is a Principal Data Analyst at the Australian Competition and Consumer Commission with 14 years of experience translating complex data into regulatory insight after a career start as an astrophysicist. He combines rigorous scientific training (PhD, astrophysics) and extensive public-sector leadership across energy, mergers, and digital policy to drive strategic analysis and evidence-based decisions. Neil brings hands-on technical credibility as an open-source contributor and test automation engineer to major projects like matplotlib and Astropy, where he improved testing, constants handling and documentation—skills that underpin robust, reproducible analysis. Known for bridging research-grade methods with practical regulatory outcomes, he also has a stint at Treasury and a track record mentoring teams to elevate analytic standards.
code14 years of coding experience
job14 years of employment as a software developer
bookBachelor of Science (BSc) and Bachelor of Arts (BA), Bachelor of Science (BSc) and Bachelor of Arts (BA) at University of New South Wales
bookUNSW Sydney
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Stackoverflow

Stats
21reputation
0reached
1answer
0questions
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Github Skills (16)

technical-writing10
numpy10
astropy10
python10
astrophysics10
astronomy10
documentation10
matplotlib10
testing10
science9
data-visualization8
data-visualisation8
data-visualizations8
jupyter8
pytest8

Programming languages (3)

JavaScriptJupyter NotebookPython

Github contributions (5)

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astropy/astropy

Feb 2012 - Sep 2014

Astronomy and astrophysics core library
Role in this project:
userBack-end Developer
Contributions:53 commits, 37 comments, 1 issue in 2 years 8 months
Contributions summary:Neil focused on enhancing the `astropy/astropy` repository by adding new functionality related to astronomical and physics constants. This included the implementation of an `info()` function for displaying available constants within the `astropy/constants` module and modifications to the `si.py` and `cgs.py` files to include new constants and formatting. The user made further contributions to unit conversions and clean-up work. These changes appear to be primarily focused on expanding and improving the functionality of the constants module.
astrologypythonscienceastrophysicsastrodynamics
astropy/astropy-tutorials

Apr 2015 - Jun 2015

Tutorials for the Astropy Project
Role in this project:
userTechnical Writer
Contributions:11 commits, 2 PRs, 9 comments in 1 month
Contributions summary:Neil's commits primarily focus on updating and improving the documentation and tutorials within the Astropy tutorials repository. They addressed typos, updated metadata, and incorporated the matplotlib template. Their contributions involved refining existing content to enhance clarity and usability for users learning to use the Astropy project and its associated tools, particularly within the context of cosmology and plotting. The edits demonstrate a focus on improving the educational value of the tutorials.
jupyter-bookpythonsciencesimulationlearn-astropy
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Neil Crighton - Principal Data Analyst - Strategic Data Analysis Unit