Ivan Nardini

Ivan sees himself as a problem solver, in pursuit of efficiently moving analytic models from development into deployment at scale. By collaborating with data scientists, data engineers, IT developers and source system experts, he designs and prototypes machine learning systems for delivering expected business value. By enabling these groups to work with a shared understanding of the stakeholders’ purpose, he supports ModelOps as the holistic approach for dealing with analytics operationalization.