Ivar De Hoogt is a highly motivated and accomplished data scientist with a passion for developing trading models using machine learning, technical analysis, and statistics. He completed a Bachelor's degree in Technische natuurkunde and a Master's degree in Systems&Control at Technische Universiteit Delft. Ivar has worked with reputable organizations in various capacities such as Quantitative Gas Analyst at InCommodities, Analyst/Data Scientist at Neas Energy A/S, and Quantitative Researcher at Peeeks. He is highly proficient in several programming languages such as Python (primary), SQL, C#, and R. Ivar has a knack for developing efficient and effective trading models that deliver reliable outcomes. In his spare time, Ivar enjoys teaching and passing on his knowledge and expertise to the next generation of data scientists.