Dominik Zabel

Honorardozent für Software Engineering (Graduate) & Computer Engineering & Science (Bachelor)

Led diverse teams of data scientists and ML engineers as a Project Lead and Senior Engineer, delivering impactful solutions including an early warning system for a major logistics provider, with expertise in data modeling and MLOps

• Designed and implemented a cloud architecture using AWS and Cloud Foundry to process thousands of PDF documents using an asynchronous message queue and notification architecture. • Co-led a team of eight data scientists and engineers in conceptualizing and developing a data analytics web-application (Python, SQL, React) to accelerate standard data analysis and model development •Led workshops on collaboration in agile project management environments, CI/CD pipeline setup, and deploying data solutions.

•Estimated machine learning models for an early warning system in Python, such as XGBoost, Random Forest and Neural Networks. Model interpretation with the help of white-boxing algorithms ( Shapley and Lime) • Deployed the early warning system into production as a cloud solution by setting up a continuous integration pipeline using Bitbucket Pipelines and AWS. • Implemented a REST API to query and display model results in management dashboards, supporting encryption and authentication with JWT.

Quantitative Finance, Quantitative Methods, Derivative Pricing