Luigi Curzi is a Senior Specialist with 13 years of experience combining mathematics, statistics and software engineering to solve data-intensive problems. Trained in applied mathematics and decision technologies at Unicam and Sapienza (graduating with honors), he brings strong expertise in algorithm development, operational research and statistical analysis, including a thesis on maximal clique algorithms. At Prometeia and previous roles he has built data pipelines, numerical libraries and interactive visualizations using Python (pandas, numpy, statsmodels), d3.js and web technologies, and authored domain-specific Python tooling such as an economic extensions library for pandas and an automated dossier generation framework. Comfortable moving between low-level computation and customer-facing visual products, he also has experience coordinating shared projects and standardizing database access. Based in Bologna, Luigi mixes rigorous academic roots with hands-on engineering, often applying mathematical methods to practical economic and big-data challenges.
13 years of coding experience
6 years of employment as a software developer
Liceo Scientifico
Laurea Magistrale in Statistica Informatica e Tecnologie Decisionali Statistica, Laurea Magistrale in Statistica Informatica e Tecnologie Decisionali Statistica at Sapienza Università di Roma
Laurea in matematica per le applicazioni tecnologiche e dell’ingegneria Matematica e informatica, Laurea in matematica per le applicazioni tecnologiche e dell’ingegneria Matematica e informatica at University of Camerino
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