Jan Noessner

Jan Noessner has a diverse work experience spanning over two decades. Jan began their career at Fischer GmbH & Co KG, where they gained experience in quality control, project coordination, and process improvement. During their time there, they successfully implemented cost-saving measures and contributed to the company's website development.

Jan then moved on to Daimler, where they completed an internship focused on controlling and process improvement. In this role, they conducted analyses, identified areas for improvement, and led end-to-end projects to deliver cost and efficiency improvements.

After their internship, Jan worked at the University of Mannheim as a researcher. Jan led teams, collaborated with the private sector, and contributed to the development of practical solutions for data integration challenges. Jan also presented their research findings at conferences and published multiple articles.

Jan's next position was at Nuance Communications, where they served as a technology intern in the R&D department. Jan made contributions to next-generation semantic answering and played a role in the development of voice recognition assistant software.

Following their internship, Jan joined Capgemini as a lead IT consultant. Jan worked on a global retail sales system project for Daimler AG, consulting with senior-level stakeholders and providing technical expertise. Throughout the project, Jan's responsibilities evolved from requirements gathering to solution development.

Jan then worked at cognitiveAI Software, where they served as a senior data scientist. Jan prototyped innovative machine learning approaches for data integration and semantic computing. Jan also guided developers in integrating these prototypes into the productive system.

Next, Jan joined Dassault Systèmes as an R&D GEOVIA senior data scientist. Jan was responsible for transforming the company towards Semantic Web technologies and machine learning. Jan also played a crucial role in a pre-sales engagement with a coal mining company, leading to significant revenue for Dassault Systems.

After Dassault Systèmes, Jan worked at Deswik as a senior data scientist. Jan explored various applications of machine learning within the company and educated managers, consultants, and developers on the subject. Jan implemented approaches for image segmentation, point cloud analysis, and task duration prediction.

Most recently, Jan joined Nagarro as a principal consultant for artificial intelligence and machine learning. Jan leveraged their expertise in AI and ML to provide consulting services to clients.

Jan's latest position is as a lead data scientist at Austrian Power Grid AG, where they continue to contribute their skills and knowledge in the field of data science.

Overall, Jan's extensive work experience demonstrates their expertise in data science, machine learning, and artificial intelligence, as well as their ability to lead projects, collaborate with stakeholders, and drive innovation.

Jan Noessner earned a Bachelor's degree in Business Informatics from the University of Mannheim in 2007. Jan then completed a study abroad program in Business Administration at the University of California, Berkeley in 2007. Jan continued their education at the University of Mannheim, earning a Master's degree in Business Information Systems in 2010. Jan later obtained a PhD in Computer Science, Artificial Intelligence, and Machine Learning from the University of Mannheim in 2014.