Hi there, I'm Mario. I am an Italian-born, Swiss-based data scientist with 5+ years’ experience in analytics, modeling and anomaly detection in large scale datasets. What I do best is transforming real-world data into meaningful information, using my skills in programming, analysis and complex data visualization.
My main interests are technology, environment, physics, economy, society and sustainability. Systems thinking is the common denominator of all my studies and work. And here's what I do best:
data mining — social, economic and scientific datasets;
data analysis, predictions, anomaly/fraud detection, graphic visualizations;
theoretical modeling of systems' formation, evolution, composition;
computing concrete indicators for systems' performance, resilience or balance.
I currently work as Data & Analytics Specialist at UBS Switzerland, where I lead a 2-person team in Business Risk Management. Here I analyze tons of data points around clients and transactions to discover potential anomalies or irregularities — and I present my results in dashboards and web applications. I have also acquired experience in data science during my previous job at EY Switzerland, where I was a Senior Consultant in forensic technology as part of the Forensic & Integrity Services team, and during my doctoral studies at the Chair of Systems Design, ETH Zurich, where I obtained my Ph.D. in complex systems in 2015. I also have consulting experience with Accenture in the field of sustainability, green technologies and smart cities, and with EDGE Strategy — the leading global business standard for gender equality in organizations.
While earning my Master’s degree in Physics at the University of Catania (Italy, 2009) I published several papers in the field of solid state physics. I also obtained a Master’s degree in Green Management, Energy and Corporate Social Responsibility at Bocconi University (Milan, Italy, 2010). My experience is completed by a 7-month research period at Northeastern University (Boston, USA, 2013), at the Laboratory for the Modeling of Biological and Social Systems (MoBS).
This video is an effective illustrative example of my work.
It shows the evolution of a global R&D network, extracted from a data set of inter-firm R&D partnerships across industries from 1984 to 2009.
This work is included in one of my published papers – check out many more here.