Summary
Alessio Cecconi is a process engineer and data scientist with over a decade of experience and a PhD in process and data mining, currently building AI-driven process automation at DOS Mind (DOS Design) from Rome. He has a strong academic track record from WU Vienna and Sapienza, combining novel algorithm development and published research with hands-on deployment of ML solutions for industrial and safety-critical domains such as nuclear safeguards. Alessio excels at turning noisy, high-dimensional data into actionable insights—optimizing tomography analysis, reducing false positives in instrument testing, and creating scalable dashboards for non-technical stakeholders. Comfortable in international, multidisciplinary teams, he blends teaching and research experience with product-focused engineering to bridge theory and production. A detail that often goes unnoticed: he pairs rigorous statistical methods with process mining to improve decision-making in multi-stakeholder environments.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Economic and Social Sciences, 1 - Excellent, Doctor of Philosophy - PhD, Economic and Social Sciences, 1 - Excellent at WU (Wirtschaftsuniversität Wien)
Laurea Magistrale LM, Computer Engineering, 110 cum Laude, Laurea Magistrale LM, Computer Engineering, 110 cum Laude at Sapienza Università di Roma
English, German, Italian