Projects:- Demand Forecasting for promotion articles with Gradient Boosted Trees (Data Scientist & Tech Lead)- Counterfactual Modeling for A/B Testing of Store Interventions (Data Scientist)- Price Elasticity Modeling with Hierarchical Bayesian Models (Data Scientist)- Correction of sales to demand in out-of-stock situations with regression models (Product Owner)

- Developed explainable Deep Learning models on time series data from inertial sensors gaining insights about muscular fatigue and cognitive load- conducted a scientific study for data collection- published results in peer reviewed papers at quality conferences and journals

- developed machine learning and deep learning models to predict major complications before pancreas surgeries- published results in peer-reviewed paper at quality conference

- developed java software applications within a manufacturing execution system- developed and maintained CI DevOps pipelines- managed technical unix infrastructure

- design and implementation of a machine learning based intrusion detection system within industrial communication networks- publication of results in peer-reviewed paper