IT and data enthusiast with extensive experience in data analysis, ETL solutions, machine learning, full-stack Python development, system administration, and cloud architecture. Currently, Senior Consultant for Capgemini involved in all the end-to-end technical aspects of an international project focused on the development and the delivery of a business intelligence solution for customer demand analytics with both on-premis and cloud infrastructures, within the scope of agile development on Microsoft Azure. Fond of the Agile framework and DevOps practice. Previously, technical project manager, focused on research activities within the scopes of robotics, artificial intelligence, big data, energy saving, and IoT domains, and data scientist for well-known companies involved in the development of machine learning algorithms and AI solutions applied to public administration and defence. Briefly Postdoctoral Research Fellow in Data Science at University of Sussex on deception detection, and Junior Data Scientist in collaboration with Deckchair.com working on computer vision.

PhD in Experimental Particle Physics at University of Sussex/CERN and former member of the ATLAS Experiment at the LHC with training on problem solving, time management, coding (Python, C++, HTML, bash), and extensive experience in data analysis of high rates and volumes of data collected by the ATLAS Experiment at the Large Hadron Collider (CERN, Geneva). Invitations to give talks at national (UK), and international (US), conferences; eager to participate in outreach activities to engage with the general public.