At Herrmann Ultraschalltechnik GmbH & Co. KG, I supported the development of an Airflow-based ML training pipeline for multi-campaign ultrasonic welding sensor data.
I conducted exploratory analysis on industrial time-series and sensor datasets using Python, Pandas, and Jupyter. I also produced anomaly detection reports to identify outliers and data quality issues in welding process measurements.
I prepared data visualisations to communicate findings and support model development decisions, and developed and evaluated machine learning models for process quality tasks. I compared algorithm performance across multiple approaches.
Before moving into machine learning, I worked as a Senior Flight Attendant at Qatar Airways and GoAir Airways. I also hold AWS cloud certifications and am pursuing an M.Sc. in Applied Data Science and Artificial Intelligence at SRH Hochschulen.
