Summary
Alexander Gerber is a data scientist based in the Ruhr region of Germany with a decade of experience applying machine learning and econometric methods to uncover hidden patterns in data. Currently at logarithmo GmbH & Co. KG, he blends applied analytics with a strong academic background from roles at Universität Duisburg-Essen where he taught time series analysis, econometrics, and R programming. His research interests span stochastic volatility, spatial models, and text mining, and he is co-author of "Introduction to Econometrics with R," reflecting a commitment to reproducible, teaching-focused work. Trained in economics, management and energy & finance with top grades, he pairs quantitative rigor with practical problem-solving. Colleagues describe him as curious and eager to learn, continually expanding his skills in programming and statistics beyond his day-to-day projects. Notably, his profile shows a cross-disciplinary trajectory from public administration training to advanced econometrics, giving him unusual perspective on applied policy and industry problems.
10 years of coding experience
3 years of employment as a software developer
Verwaltungsfachangestellter, Verwaltungsfachangestellter at Verwaltungsgemeinschaft an der Schmücke
Bachelor of Science (BSc), Wirtschaftswissenschaften, 1,6, Bachelor of Science (BSc), Wirtschaftswissenschaften, 1,6 at Universität Leipzig
Master, Energy and Finance, 1,2 (with distinction), Master, Energy and Finance, 1,2 (with distinction) at Universität Duisburg-Essen
Master, Management and Economics, Master, Management and Economics at Ruhr-Universität Bochum
German, English