Ismael Cabral is a seasoned data scientist and machine learning engineer with extensive experience in energy forecasting and flexibility. Currently serving as a Sr. Data Scientist at Vattenfall, Ismael has a proven track record at companies such as Xebia, Source.ag, and Bol.com, where roles included designing data visualization frameworks, implementing machine learning models, and optimizing search results and campaigns. With a strong technical foundation, Ismael has led training on Airflow data pipelines and developed tools for price elasticity modeling and SEA campaign optimization. Academic credentials include a Master in Advanced Analytics from NOVA IMS and a Master in Sustainable Energy Technology from Eindhoven University of Technology, alongside a Machine Learning Engineer Nanodegree from Udacity.
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