Mohsen is an experienced Senior Data Scientist and Consultant with a Ph.D. in Computational Intelligence. He has led end-to-end development of machine learning and AI solutions across various domains, working with companies such as Shell, KLM, and Randstad. His expertise spans predictive modeling, anomaly detection, and optimization for large-scale systems. Mohsen is proficient in Python, Matlab, PySpark, Azure, Databricks, and ML engineering tools like Airflow and MLFlow. With a strong academic and industrial background, he combines deep technical insight with cross-functional collaboration, vendor management, and a passion for simplifying complex concepts for decision-makers.
Expertise
- Artificial Intelligence
- Business & Digital Transformation
- Control Systems
- Data Engineering
- Data Science
- Machine Learning
- Reinforcement Learning
Teaching
- Y3AB
Education
- Ph.D. Computational Intelligence, Delft University of Technology, 2014
- M.Eng. Systems and Controls, Ferdowsi University of Mashhad, 2008
- B.Eng. Electrical and Communications Engineering, Ferdowsi University of Mashhad, 2005
Publications
- J. Rezaei, M. Davoodi, L. Tavasszy, M. Davarynejad, A multi-objective model for lot-sizing with supplier selection for an assembly system, International Journal of Logistics Research and Applications, 2016