Markus Forster
About Markus Forster
Markus Forster is a Senior Software Engineer at MediaMarktSaturn, specializing in predictive models, natural language processing, and computer vision. He has a diverse background in data science, having held various roles including Principal Data Scientist and Chief Technology Officer across multiple organizations.
Work at MediaMarktSaturn
Markus Forster has been employed at MediaMarktSaturn as a Senior Software Engineer since 2022. His role involves utilizing his extensive background in software engineering and data science to contribute to various projects within the organization. The position is based in Ingolstadt, Bavaria, Germany, where he applies his skills in predictive modeling and machine learning to enhance the company's technological capabilities.
Education and Expertise
Markus Forster holds a Master of Science (MSc) in Information and Computer Sciences from the University of Luxembourg, which he completed from 2009 to 2011. He further advanced his education by obtaining a Doctor of Philosophy (PhD) in Computer Science from the same institution between 2011 and 2015. Additionally, he studied Applied Computer Science at Hochschule Trier, earning a Diplom Informatiker (FH) from 2000 to 2005. His expertise includes predictive models, natural language processing (NLP), computer vision, and both deterministic and probabilistic modeling.
Professional Background
Markus Forster has a diverse professional background in data science and software engineering. He served as a Principal Data Scientist at farmerJoe for four months in 2021 and worked at KYC3.com as Chief Technology Officer from 2016 to 2019. His experience also includes positions as a Data Scientist at Peer Mountain and Principal Data Scientist at KNEIP. Prior to these roles, he was a PhD Candidate and Assistant at the University of Luxembourg from 2011 to 2015.
Technical Skills and Tools
Markus Forster possesses advanced skills in several programming languages and machine learning frameworks. He is proficient in Python, Keras, TensorFlow, and PyTorch, which are essential tools in the field of machine learning. His extensive experience with the Hadoop Stack further complements his technical abilities, enabling him to handle large datasets and perform complex data analyses effectively.