Born in Jesi (AN) on 01/01/1991. He earned a bachelor’s degree in Business Administration at the Marche Polytechnic University in 2013 and then he moved to Rome to study Management (major marketing) at Luiss Guido Carli where he obtained the Master’s Degree in October 2015. During 2015 he worked as intern in Thales Alenia Space at the Strategy & Innovation Department.
https://it.linkedin.com/in/marco-cardinaletti-75119aa7
I grew up in La Spezia (Liguria) where I was born in 1987. After obtaining my high school diploma, specializing in the classics, and achieving a three-year bachelor’s degree in Economics and Social Sciences at Bocconi University in Milan, I enrolled in a Master’s degree in Statistics for Economics. This choice gave me the opportunity to deepen my studies in quantitative subjects, which are the basic tools for understanding socio-economics. In March 2014, I graduated with a thesis entitled ‘Crisis: Economic Resilience and New Political Strategies in Italy.’ Upon graduation, after a brief work experience in DELOITTE, in which I was involved in a Business Intelligence project for SKY Italy, I had the opportunity of working as a member of staff in the Mayor’s office in Monterosso al Mare. During this experience, I was also directly involved with communication tasks and cultural initiatives. Enrolling in this second level master’s degree in ‘Big Data Analytics and Social Mining’ I would like to get closer to the field of my studies in order to expand my skills and explore new career possibilities in the Data Analysis Sector.
Born in Jesi, Marche, Italy, in 1989. After attending “Liceo Scientifico” as high school, I got a Bachelor’s Degree in Economics at “Università Politecnica delle Marche” and finally a Master Degree in Statistics at University of Siena, cum laude. I had a certain passion for numbers since I was a child, making comparisons on statistics red on old paper atlas. This passion remained latent until my first Statistics exams at University. So it was not by fate if I attended a Master Degree in this field; there I found back my old passion. Once graduated, I had already realized that I wanted to go deeper in Statistics knowledge, but not about theory: I was looking for something that could improve my “practical Statistics skills”, that kind of Art of getting “gold nuggets” from huge datasets which is Data Mining. So here I am attending “Big Data Analytics & Social Mining” Master at University of Pisa. I really hope going on discovering new ideas, learning new techniques, acquiring new skills to find greater satisfactions in this new pioneer job field called Data Science.
https://it.linkedin.com/in/micheleferrucci
Born in Pisa on the 22nd of May, 1984. In October, 2010 he earned with honors the Master Degree in Physics, with an experimental thesis on the non-linear propagation of ultra-short, intense laser pulses in gases and plasmas, in target conditions for the laser acceleration of relativistic electron bunches. From early 2011 to the end of 2015, he collaborated with 40South Energy s.r.l. to the design, realisation and test of sea wave energy converters and wavemeters. He attended to the design of the control systems of wave energy converters, their software and hardware implementation, and their validation through fluid-dynamics simulations, learning programming skills both in simulation (Matlab, Mathematica, Comsol Multi-Physics) and in complex hardware systems handling. Engaged in political, social and cultural life in Pisa, he was member and founder of the Aut-Aut Cultural Association, and member of the board of the website www.autautpisa.it, online up to 2014.
Born in Busto Arsizio(VA) in 1988, I earned a Master degree in Biomedical Engineering at Politecnico di Milano. I spent 6 months in Boston(MA) where I developed my master thesis about novel skin conductance algorithms at MIT, Harvard Medical School (MGH). Then I worked as research fellow at CNR (National Research Council) in Lecco where we developed sensorized orthosis particularly by designing electronic circuits, studying SMA (Shape memory alloys) and their applications as well as using machine Learning techniques to accelerometers data coming from clinical trials on stroke patients’ arms. Since my first experience with Machine Learning and Data Mining, I fell in love with it, acquiring self taught basic ML and Data Mining skills and web languages, directing my career towards this amazing path.
Nato a Livorno nel 1975. Dopo la laurea in Lingua e Letteratura inglese e spagnola alla facoltà di Lettere di Pisa ha conseguito un Master in Gestione del Software Open-Source al Dipartimento di Informatica di Pisa.
Dal 2006 lavora come project financial manager al Consiglio Nazionale delle Ricerche, Istituto di Scienza e Tecnologie dell'Informazione (ISTI) occupandosi prevalentemente della gestione tecnico-manageriale di progetti di ricerca europei, regionali e nazionali.
Born in Piombino (LI) January 21 1958. Married, with three children. Graduated July 12 1982 in Forestry Sciences at the faculty of Agriculture, Florence. Freelance Wood Technologist, since 1982 works as consultant in the fields of the industrial uses of wood, of R&D of wood-based products, and of the conservation of wooden artworks and structures belonging to the Cultural Heritage. Over 70 publications, including reference books, articles and presentations at national and international conferences.
Born in Pagani (Sa) on 18.07.1989. He obtained a Master's Degree in Business Administration, and, during his studies, he had the chance to approach the world of Big Data at the Italian Chamber of Commerce in Bulgaria where, during an internship program, he was involved in many quantitative analysis. After a final thesis in Data Mining, he decided to enroll in this Master. The aim is to enrich the CV of technical skills both in the use of application software, and in the development of metodologies for summarize knowledge and information for decision making in public and private companies.
Marta received her Master degree in Mathematics from the Sapienza University of Rome in 2015. After a Master Thesis in Knot theory, her interests gradually moved towards Machine Learning and Data Science. She would be interested in pursuing her studies both in Computer Science and Statistics.
I am a PhD student in Political Science at University of Pisa. My research project focuses on identifying new opinion leaders in social media by means of Social Network Analysis. As a hybrid figure halfway between a computer scientist and a political scientist, I’ve often tried to combine computer and social science. Indeed, my degree thesis deals with the frame evolution of a political issue among media (Twitter, television and newspapers) that I analysed quantitatively with R software. As a member of the MediaLab of the Department of Political Science, I analysed a local electoral campaign in social media in collaboration with il Tirreno (local newspaper) and the National Research Council of Pisa (#Toscana15 project). I have focused on Social Network Analysis since I discovered that nodes and edges in a graph could represent human relationships.
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