About Me

Senior Machine Learning Engineer / Tech Lead

ProSiebenSat.1 Media SE • Munich, Germany

Nov 2024 - Present

• Built a data pipeline in Databricks to calculate segment shares, driving optimized ad campaign placements.
• Organized a Knowledge Sharing Session to promote knowledge transfer and enhance synergy across the data department.

Machine Learning Engineer / Tech Lead

ProSiebenSat.1 Media SE • Munich, Germany

Apr 2022 - Nov 2024

• Led the development of a chatbot powered by Retrieval-Augmented Generation (RAG), helping sales teams quickly access internal information.
• Enhanced internal content categorization using IAB standards for precise contextual targeting.
• Trained forecasting models using Metaflow and MLflow for scalable ML pipelines.
• Developed a TV attribution algorithm to assess campaign effectiveness.

Associate Data Scientist

ProSiebenSat.1 Media SE • Munich, Germany

Feb 2021 - Apr 2022

• Refactored and migrated TV attribution system to AWS, reducing infrastructure costs by 60%.
• Implemented monitoring solutions for complex data pipelines, decreasing daily ops by 20%.
• Trained classification models for user behavior prediction to enhance targeting efficiency.

Master Thesis - Data Scientist

Porsche Digital GmbH • Ludwigsburg, Germany

Mar 2020 - Sep 2020

• Applied unsupervised learning techniques for anomaly detection on acoustic signals using Keras and Python.
• Designed and trained an Improved Deep Embedded Clustering (IDEC) model to extract features and cluster anomalous and non-anomalous acoustic signals.

Working Student - Data Analyst

Siemens AG • Karlsruhe, Germany

Nov 2018 - Apr 2020

• Created real-time Qlik Sense reports to improve monitoring of 8D reports for manufacturing nonconformances, providing management with better progress visibility.

M.Sc. Computer Science

Karlsruhe Institute of Technology – KIT • Karlsruhe, Germany

Oct 2018 - Sep 2020 • Grade: 1.8

Focus: Machine Learning, Computer Vision and Deep Learning

• Trained an LSTM-based RNN for movement prediction and anomaly detection in shipping traffic.
• Applied data augmentation and transfer learning to train a CNN for face recognition with a small dataset.

B.Sc. Computer Science

Karlsruhe Institute of Technology – KIT • Karlsruhe, Germany

Oct 2014 - Sep 2018 • Grade: 2.4

Focus: Software Development

• Implemented a web-based course enrollment system using Play and Java.

Diploma in Mathematics and Physics

Tunis Preparatory Engineering Institute – IPEIT • Tunis, Tunisia

Sep 2011 - Jul 2013 • Grade:

Focus: Mathematics and Physics