Harald Tretten

Harald Tretten is a PhD candidate in Data and Decision Science at BI Norwegian Business School. His research is conducted in collaboration with REMA 1000 and focuses on data-driven decision making in retail operations and supply chains. His current research interests include demand forecasting, inventory and assortment decisions, machine learning, operations research, and how data quality and availability influence operational decisions.

Harald holds an MSc in Business Analytics from BI. His master’s thesis examined dynamic switching between traditional risk models and machine-learning models for Value at Risk in energy commodity markets, combining statistical modelling, machine learning, and decision-oriented evaluation.

At BI, Harald works as a teaching assistant in Data Management and Python Programming, where he supports students with Python, SQL, Pandas, NumPy, Jupyter, data analysis, exercises, and debugging. His broader academic interests lie at the intersection of data science, operations management, supply chain analytics, and the practical application of analytical methods to real-world business problems.