Biography
Experienced Data Scientist and Applied Researcher with a strong background in Machine Learning, Generative AI, Economics, and Predictive Analytics. Expertise in Statistical Modeling, Geo-Spatial Statistics, Simulations, and AI-driven solutions for Finance, Health, and Economic Development. Proven ability to lead teams, develop scalable AI-Solutions, and drive research initiatives.
As a Data Science Consultant in the private sector, I’m now more focused on Generative AI applications and spend less time on research. Nevertheless, please do not hesitate to contact me for research ideas or potential research projects.
- Generative AI
- Predictive Methods and Machine Learning
- Applied Econometrics and Computational Statistics
- Emerging Markets and Economic Development
- Digital Transformation
- Small Area Estimation
Dr.rer.pol. in Applied Statistics, (2019 - 2022)
Freie Universität Berlin
MSc in Economics, (2016 - 2018)
Universität Wien
MA in Development Studies, (2016 - 2019)
Universität Wien
BSc in Statistics, (2015 - 2018)
Universität Wien
BSc in Economics, (2013 - 2016)
Universität Wien
Successful Defense of my PhD-Thesis
On 19.12.2022
I am happy and thankful to share that I successfully defended my PhD-thesis on the topic of “A Framework for the Estimation of Disaggregated Statistical Indicators Using Tree-Based Machine Learning Methods” on 19.12.2022 in Berlin.
I want to explicitly thank my first supervisor Prof. Timo Schmid, my second supervisor Prof. Nikos Tzavidis and the third expert reader Prof. Ulrich Rendtel.
Additionally, I want to thank everybody who celebrated this special moment with me!
Skills
90%
95%
85%
80%
90%
100%
Release of my R package SAEforest
Now on CRAN
I am delighted to share the information that my first package SAEforest was accepted to CRAN.
You can find further information here:
You can directly download the package from CRAN
Read the manual page for SAEforest.
Read the Vignette for SAEforest
