Associate Professor at IMT School for Advanced Studies Lucca
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Assessing your cultural and operational fit
Research on Data Mining. New application, methods, and algorithms. Spatio-temporal data mining Specialties: Data mining algorithms
Università di Pisa
Doctor of Philosophy (PhD), Information Engineering
January 1, 2006 – January 1, 2010
Università di Pisa
Master of Science (MSc), Computer Science
January 1, 2003 – January 1, 2005
Università di Pisa
B.Sc, Computer Science
January 1, 1999 – January 1, 2002
Liceo Scientifico
Lycee, General
January 1, 1994 – January 1, 1999
Scuola IMT Alti Studi Lucca
Associate Professor
October 1, 2023 – Present
Lucca, Tuscany, Italy
Scuola IMT Alti Studi Lucca
Assistant Professor
October 1, 2020 – October 1, 2023
Lucca, Tuscany, Italy
Vodafone
Data scientist
January 1, 2018 – October 1, 2020
Milano
Cloud4Wi
Senior Data Scientist and Machine Learning Engineer
September 1, 2016 – January 1, 2018
Tiscali
Senior Developer
April 1, 2015 – August 1, 2016
Pisa, Tuscany, Italy
IBM research
Research Scientist
June 1, 2012 – March 1, 2015
IBM research
PostDoc researcher
August 1, 2011 – July 1, 2012
Naval Accademy Research Lab
Visiting Researcher
September 1, 2010 – October 1, 2010
ISTI-CNR
Post Doc Researcher
October 1, 2009 – July 1, 2011
MIT
Visiting Student
January 1, 2008 – January 1, 2009
ISTI-C.N.R.
PhD student
January 1, 2006 – June 1, 2010
Cultural Fit Analysis
The candidate has a strong background in research and academia, with significant experience in data science roles in industry. Their diverse experience across research institutions (IBM, MIT, ISTI-CNR) and companies (Vodafone, Cloud4Wi, Tiscali) suggests adaptability. However, the recent shift back to academia as a professor might indicate a preference for research over direct industry application, which could impact cultural fit for a purely operational Data Analyst role. The project diversity is strong in research, but specific details on collaborative projects or team environments are limited.
Soft Skills & Operational Fit
The candidate's extensive academic and research career suggests strong analytical thinking, problem-solving abilities, and a structured approach to complex challenges. Their roles as Assistant and Associate Professor imply leadership, mentorship, and communication skills. However, the provided data lacks specific details on collaboration, stress handling, or direct operational fit within a corporate data analyst team beyond their data scientist roles.