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adm's Introduction

I help to develop ideas as data science projects.

https://r4ds.had.co.nz/introduction.html

I estimate effort, manage project boards, gather/wrangle/analyze data, build CI/CD workflows, engineer software systems, test, report, build interactive applications, teach, and mentor.

My research background (PhD at UQ; postdoc at the Smithsonian) helps me to understand the people I help and the value I can add to them. I use design thinking, customized systems, and best practices to advance projects despite great uncertainty, pressing timelines, and resticted budget.

LinuxGNU BashGitDockerrlang

To make my work accessible to non-for-profit organizations, my tools are open source and free:

I'm now building 'tilt': A collection of R packages for banks to help SMEs emit less carbon (website, GitHub).

Before:

  • I built 'r2dii': A collection of R packages for banks to analyze climate scenarios (website, CRAN).
  • I built 'fgeo': A collection of R packages to analyze forest diversity and dynamics (website, CRAN).

Created with profileme.dev

adm's People

Contributors

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Watchers

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adm's Issues

Explain the adm convension inspired by this post

Inspired by the convensional commits I may rename adm to cde --
i.e. from a-utomated data models to conventional data models --
and explain them using wording similar to the one in this post:
https://www.conventionalcommits.org/en/v1.0.0/

The {adm} specification is a lightweight convention on top of {dm}. It
provides an easy set of rules for creating a {data model} which makes
it easier to write automated tools on top of.

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