Peter Ellis
Director, Statistics For Development Division
Noumea, France
Summary
👤
Senior🎓
Top SchoolPeter Ellis is an experienced statistician and data science leader who has spent over a decade driving analytic transformation across government, consulting and international development. As Director of the Statistics for Development Division at SPC he leads 45+ specialists supporting Pacific Island countries to produce and use official statistics for policy and development. He has a track record of delivering large change programs — from devolving Australia’s East Timor aid management to modernising New Zealand’s tourism statistics — and brings hands-on technical experience in R and open-source tooling. A former chief data scientist and senior public servant, he combines evaluation, data governance and performance measurement expertise with practical coding contributions (notably front-end improvements to the popular networkD3 visualization library). Trained in applied statistics and development studies, he blends managerial leadership with a practitioner’s curiosity for reproducible, code-based analytics.
12 years of coding experience
14 years of employment as a software developer
Australian National UniversityMaster, Development Studies, Master, Development Studies at Murdoch UniversityBachelor of Music, Performance, Bachelor of Music, Performance at Edith Cowan UniversityHigh school, Mathematics, High school, Mathematics at Perth Modern School
French, English
Stackoverflow
5,754reputation
405kreached
83answers
22questions
r
top-5%
data-visualization
top-5%
shell
top-5%
Github Skills (17)
javascript10
r10
d3js10
r-stats9
rs9
css9
data-visualization9
shell9
legend6
tm6
topic-modeling6
ggplot6
excel6
cross-validation6
plot6
Programming languages (10)
Github contributions (5)
christophergandrud/networkD3
Jul 2015 - Jul 2015
D3 JavaScript Network Graphs from R
Role in this project:
Front-end Developer
Front-end DeveloperContributions:5 commits, 6 PRs, 7 comments in 4 days
Contributions summary:Peter primarily contributed to the front-end development of the `networkd3` library, enhancing its user interface and functionality. They implemented the ability to customize the font family for node labels, affecting multiple network visualization types, namely `simpleNetwork`, `forceNetwork`, `treeNetwork`, and `sankeyNetwork`. Further improvements include the addition of features such as controlling the opacity of node labels when not hovered over, and defining click actions for nodes in `forceNetwork`. They also addressed a minor bug within the `forceNetwork.js` file.
social-network-analysisjavascriptigraphnetwork-visualizationgraphs
ellisp/ozfedelect
Feb 2019 - May 2019
Australian federal elections data and forecasts
Contributions:76 commits, 51 pushes, 2 branches in 3 months
pythonelectionselections-dataforecastsaustralian
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