Teaching

I act as a human teacher of machine learning at the Chair of Information Systems at HU Berlin. This includes teaching data science related courses and supervising M.Sc. dissertations on applied ML topics.

I act as a human teacher of machine learning at the Chair of Information Systems at HU Berlin. This includes teaching data science related courses and supervising M.Sc. dissertations on applied ML topics.

Courses

Applied Predictive Analytics (M.Sc.)

  • teaching ML infrastructure (conda, package management, git)
  • supervising student’s projects on applied ML topics in credit scoring

Advanced Data Analytics for Management Support (M.Sc.)

  • hosting in-class Kaggle competition on NLP with deep learning
  • answering students’ questions in Q&A sessions and discussion forum

Business Analytics and Data Science (M.Sc.)

  • preparing Python notebooks with machine learning exercises
  • answering students’ questions in Q&A sessions and discussion forum


Student theses

  • A Cost-Benefit Analysis of Active Learning Methods in Credit Scoring
  • Reject Inference using Generative Adversarial Neural Networks
  • A Multi-Objective Particle Swarm Optimization Approach for Feature Selection
  • Multi-Objective Feature Selection in Credit Scoring