I usually write data analysis code with R and am a skilled package developer, but I enjoy Python almost as much and work comfortably with SQL.
I'm an accomplished technical writer, able to write for many different audiences, and am extremely flexible in my approach. I'm also a skilled speaker and lapsed youtuber.
I've worked in software engineering groups and regularly use git, GitHub, CI/CD workflows, containers, etc. I write about some of this work on my blog.
My data science education resources are designed to scale: entertaining blogs, videos, and approachable documentation target large audiences. Online workshops extend content to medium sized groups. In person training serves as a third, specialist tier.
I'm skilled in Bayesian statistics, linear modelling, and sampling based inference. I've worked with random forest models, and some neural network models. I'm also familiar with MLops principles.
I'm a contributor to Apache Arrow, have written extensively about it, and use it regularly for large data workflows. I've also used Kubernetes and Apache Spark.
I've worked as a developer advocate and as a professional educator, am effective at communicating on social media, and have experience building communities.
I write a lot of code for the web, in plain HTML/CSS/JS and with static site generators such as Hugo and Jekyll. I've also written R packages to wrap Bootstrap functionality and JS libraries.
I successfully ran my own research group for 15 years: skills for this include grant writing, budgeting, project management, mentoring junior researchers, diversity and OHS work, and more.
I use literate programming techniques regularly in my work, including LaTeX and Pandoc as well as computational notebooks.