Manage and guide the implementation of strategic processes, investigative activities, and detection methodologies to mitigate potential fraudulent and compliance risks.• Identify critical fraudulent patterns and behaviours through data analytics • Assess, manage and mitigate fraudulent & compliance risks • Define fraud prevention & detection KPI and alerts• Implementation and management of investigative activities • Reporting to the Management findings with appropriate recommendations• Collaborating with Cyber Security unit to related issues

Responsible for investigation and detection of suspicious behaviours as well as implementation of fraud preventing systems and detection methodologies across all the main industries. In details: • Detect anomalies with data mining and machine learning techniques as well as business rules expertise• Investigate external and internal fraud• Assess the risks of fraud.• Make recommendations - Next Best Actions• Structure a comprehensive methodology • Report to management and executives findings with appropriate recommendations as well as implementation timescales

Responsible for delivering results and implementing strategic decisions through data mining and machine learning models to guide companies’ solutions for challenges faced in a majority of different industries.My role includes:• Listen and help customers to harness data to extract insights through data mining techiniques and machine learning models • Translate technical language to customers• Work in several projects cross industries • Align customer business needs to our AI solutions• Develop and deliver software demonstration

Selected as representative of Italy to join the 1° Global PreSales Academy with other 22 associates from more than 15 different countries. The Academy is an intensive 5 months training program championed by senior leadership to create talent for SAS Globally. During this elite program I was put in several challenging environments where I had outstanding trainings on how to deliver great results with SAS software and help customers overcome their needs.

I worked as intern data scientist in the Global Fraud Department. During this internship I had the occasion to learn new programming skills such as SAS and Python. I conducted sophisticated quantitative analyses on large data sets, and I built and tested machine learning models to drive and implement fraud detection processes and methodologies for private companies and public institutions such as governments and customs.