معرفی
Alexander Fottner is a Researcher at the Chair of Statistics within the Faculty of Business and Economics at the University of Augsburg. His work focuses on statistical methods, machine learning, and functional data analysis. Prior to this role, he served as a Senior Machine Learning Engineer at Alexander Thamm GmbH (2021) and completed his academic training at Ludwig-Maximilians-Universität München.
- Education:
- B.Sc. in Business Administration with focus on Econometrics and Finance
- M.Sc. in Statistics with focus on Machine Learning and Functional Data Analysis
Research Interests: Alexander's research bridges statistics and data science, with a particular emphasis on Functional Data Analysis and Machine Learning applications in business contexts. His work explores how human-centric approaches enhance data-driven decision-making in finance and controlling.
Publications and Trends: His publications highlight interdisciplinary applications of data science in business analytics, focusing on challenges in organizational data culture adoption and technical solutions via machine learning.
