Daniel Viassolo is a seasoned data science manager currently leading a team at Amazon in developing machine learning algorithms for personalization and fraud prevention within global B2B payments and lending. With previous experience as a manager of data science at Schlumberger, Daniel leveraged machine learning and big data analytics across various teams. Additionally, roles at Vestas Wind Systems and GE Research involved leading technology and R&D projects focused on optimization and health management systems. Daniel's extensive educational background includes a PhD in Control Systems and Optimization from Purdue University and various certificates and degrees in engineering and business leadership.
This person is not in the org chart
This person is not in any teams
This person is not in any offices