Principal Data Scientist

4/2023 – 12/2023

Prediction of affinity to sustainability for bank customers based on anonymized transaction data

Python, SQL

1/2023 – 4/2023

Development of a custom signal filter to remove A/C interference from drone based greenhouse temperature and humidity measurements

SQL, Python, Signalverarbeitung

1/2018 – offen

Data modeling on telecommunications network and mobile phone location data.
Projects included:
- dynamic model of population flows in the US and UK which was used by the UK Government during the Covid-19 pandemic on one hand and as a real time fraud detection model for mobile ad bidding data on the other hand
- online ad fraud detection with deployed models running at > 100k queries per second
- deep learning to segment satellite data into various types of land use

Data Science, Apache Spark, Azure Databricks, Maschinelles Lernen, PyTorch, TensorFlow, Python, Amazon Web Services (AWS)