I am a software developer passionate about data science and full-stack web development. With 5+ years of experience building data-driven products, I have acquired a deep understanding of creating robust and scalable software solutions that solve business problems. I have a proven track record of delivering high-quality, user-friendly software solutions to real-world problems (open-source software packages downloaded over 40 million times). Additionally, I have 10+ years of experience using data science tools to draw insights from complex empirical data. My skills include statistical modelling, experimental design, data analysis, visualization, and communication. I have 20+ peer-reviewed publications with over 10K citations and 2 online books.

I have authored over a dozen R packages that deal with:

• statistical analysis and reporting (e.g. easystats project, a collection of 10 packages)
• data visualization (e.g. ggstatsplot: Enhancing {ggplot2} plots with statistical analysis)
• code analysis (lintr: Static code analysis for R)
• code formatting (styler: Non-invasive pretty-printing of R code)

Other authored packages include:

datawizard, performance, parameters, insight, effectsize, bayestestR, modelbased, ggsignif, see, statsExpressions, report, correlation, styler, ospsuite, ospsuite.utils, esqlabsR

If you are interested in good programming and software development practices, check out my slide decks.