Marco Rusconi is a theoretical physicist by education with years of experience in interdisciplinary teams working with mathematicians, engineers, psychologists, medical doctors and neuroscientists. During his research he used mathematical modelling, simulations, data and time series analysis as well as statistics and machine learning methods.
Marco worked in diverse industries, including health-care and mobility analytics. Acquiring experience in developing data-driven business concepts, analytics and data science, BI, process and data workflow modelling and designing as well as project management and team lead. He enjoys communicating complex problems, in a non-technical language accessible to non-experts and is passionate about innovation and problem solving. He uses scientifically sound analytics and AI approaches to solve business questions and develops data-driven business concepts and products.