For more than 20 years, I have been working at the intersection of statistics, machine learning, forecasting, and analytical software development.
Holding a PhD in Forest Biometrics and Applied Statistics, I help organizations turn complex data into actionable insights, reliable predictive models, and evidence-based decisions.
I am passionate about open-source software and primarily work with R on Linux systems.
Beyond data science, I am also active as a musician.