Teaching
I act as a human teacher of Machine Learning at the Chair of Information Systems at HU Berlin. This includes teaching Data Science and supervising dissertations and seminar projects 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 and supervising dissertations and seminar projects on applied ML topics.
Courses
Business Analytics and Data Science
- preparing Python notebooks with ML exercises
- hosting online coding sessions and tutorials
- grading students’ ML projects and preparing exam questions
Advanced Data Analytics for Management Support
- hosting in-class Kaggle competition on NLP with deep learning
- answering students’ questions in Q&A sessions and discussion forum
- grading students’ ML projects
Applied Predictive Analytics
- teaching ML infrastructure (conda, package management, git)
- supervising student’s projects on applied ML topics in credit scoring
- grading students’ seminar papers
Information Systems Seminar
- supervising student’s projects on applied ML topics
- grading students’ seminar papers
Student dissertations
- 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