I am a software developer with a passion for data science and full-stack web development. With several years of experience in building data-driven products, I have acquired a deep understanding of how to create 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; my open-source software packages have been downloaded over 40 million times. Additionally, I have 10+ years of experience in using data science tools to draw insights from complex experimental datasets. My skills include statistical modelling, experimental design, data analysis, visualization, and communication. I have 20+ peer-reviewed publications with 8000+ 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.