Francesco Ferranti is a Machine Learning Engineer with a double MSc in Scientific Computing and Applied Mathematics. They currently work at Sanofi and have previously held roles at Klarna, N26, and KTH Royal Institute of Technology, where they focused on pattern recognition and data classification. With proven skills in Python, AWS, CI/CD pipelines, and a passion for DevOps culture, Francesco excels in fast-paced, cross-functional teams, particularly in the Credit Risk domain. Their educational background includes a Master of Engineering in Computer Science from Technische Universität Berlin and a Laurea in Mathematical Engineering from Politecnico di Milano.
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