Student Teaching Assistant for 'Introduction to Geometry and Group Theory'

Student Assistant for research (75%) and teaching (25%) at the machine learning lab of Klaus Robert Müller at TU Berlin, advised by Robert Vandermeulen- Research in low-rank nonparametric statistics- Teaching Assistant (grading) for the course 'Deep Learning 2'

- Development, calibration and maintenance of rating methodologies for the credit risk parameters for both retail and wholesale portfolios of the Deutsche Bank- Resolution of regulatory and internal findings related to the model methodology- Efficient processing of large datasets for the purpose of model development or related statistical analyses- Extensive data analyses with mathematical and statistical methods

Involved in projects of the Group Strategic Analytics - Risk Methodology department with focus on the development of quantitative projection models for the internal LGD metrics with methods from probability theory, statistics and data science.

Supported fundamental lectures in mathematics as a grader (weekly homework sheets, final exams) and tutor of groups from 5-30 students, which includes my roles as- Grader for the course Linear Algebra 1, - Tutor for the course Real Analysis 2,- Tutor for the 3-week mathematical prep course for incoming students- Tutor of the 'MathLab' for Measure Theory, Probability Theory and Statistics, supporting students with general study tips and questions about lecture and homework assignments- Grader for the course Ordinary Differential Equations and Complex Analysis