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I was born in Sicily in 1994. Since I was a kid, I've always been strongly interested in maths. However, after getting my high-school diploma in a science-oriented institute, I moved to Bologna to follow another passion - that is, the study of history and political thought. A couple years later, in 2019, I obtained a master's degree in Global Studies at the history department of Bologna's Alma Mater.
After that, I traveled and worked abroad for one year, both in France and in Australia. When I got back home, I decided to enroll to the master to learn new skills that could help me fully realize my background and aspiratons.

I graduated in Theoretical Physics at the University of Padova. In particular, I focused on the theoretical description of the so-called fundamental interactions, which are four "forces" which regulate all natural phenomena.
I am interested in Mathematics and Physics, as well as new technologies and how these modify society. Therefore, I decided to enroll in this course to develop the necessary skills to be an active part of the rapid changes occurring in our world, and to learn the tools to become a Data Scientist.

After obtaining the diploma of industrial expert in electronics and telecommunications, I enrolled at the Faculty of Physics in Pisa. I graduated in Matter Physics with an experimental thesis focused on the fabrication of two-dimensional devices. During my university years, I also participated with the U-PHOS team to the REXUS/BEXUS program that allows students of universities across Europe to carry out scientific and technological experiments on research rockets and balloons. I decided to enroll at the Master in Big Data Analytics & Social Mining because I am attracted by the possibility of inferring information from data to make predictions in scientific, social, and economic fields.

Graduated in Business Administration from the University of Naples Federico II. After 2 years of professional experience in the field of Marketing and Project Management I wanted to acquire new skills in the Big Data sector in order to better understand what is at the basis of a Data Driven strategy. My training is focused on management. However, my various life experiences deriving from my passions for volunteering, social policies, sport and travel have enriched my profile and my skills in such a way that I can adapt to any context and situation.

In March 2017, I graduated from "La Sapienza" University of Rome with a master's degree in sociology discussing a thesis on the topic of representation of work among young people in Rome. In the same year, through an internship at the CNR, I partecipated in a research about the construction of the image of migrants in online newspapers and textbooks. The interest in the understanding of social dynamics led me to decide to expand my knowledge with the master in Big Data Analytics and Social Mining. I believe that the application of techniques and models deriving from data science can highlight further and new aspects in the study of social phenomena to grasp their contradictions and their problems.

I was born in Verona in 1991. After graduating in philosophy at the University of Padova, I decided to move to Utrecht (in the Netherlands) to enroll in a master’s degree in Applied Ethics. During my studies in digital ethics, I had the opportunity to discover the world of Big Data. Despite not having any technical knowledge, I was attracted by the multiple perspectives offered by this innovative field. For this reason, once I came back to Italy, I decided to enroll in the Master in Big Data Analytics and Social Mining at the University of Pisa.

After the Master degree in Telecommunication Engineering (Pisa) in 2006 and several years of R&D activity in telecommunications and IoT, I continue my academic training obtaining in 2018 the master's degree with honors in Humanities Informatics (Pisa) with focus on Human Computer Interaction with thesis on the interaction of a humanoid robot in the IoT environment (ACM CHI2019). With many years of experience as a software engineer, I currently cover the role of Technical Product Manager for the Seastema company (Fincantieri group) specializing in the design and supply of integrated naval automation systems in the military, merchant, yacht and infrastructure monitoring fields. Working mainly for national and international R&D projects related to Defense, I enrolled in the master to broaden my training background regarding Data Mining and BigData, topics that take on an increasingly central role in this working environment.

I graduated in philosophy in November 2018 at the University of Roma Tre with a thesis on the role of probability in the interpretation of Quantum Mechanics. My interests in philosophy have always been at the limits of the physical and mathematical sciences. In particular, I have been interested in probability theory, interpretation of physical theories, logic and philosophy of logic. After these years of studying philosophy, I decided to deepen the quantitative aspect of my interests. In particular, I have tried to build a good base of analysis and geometry and I have further deepened some aspects of mathematical logic. During this period I discovered the world of Big Data and Machine Learning and so I decided to enroll in the master offered by the University of Pisa, where I am learning its methods. The construction of predictive models and the use of other techniques learned are now my passion. My desire is to work in a company in the sector to deal with Data Science full time.

I'm a consultant for innovation policy projects, specialized especially in technological innovation.I achieved a Master Degree in "Management, Innovation and Service Engineering" and a three years’ bachelor degree in Business Economics, defending a thesis in Computer Science on management systems for Enterprises. I've always been interested in Information and communication technology; this is why I have decided to apply to study big data and their overall implication.

Vincenzo Giammetta, graduated in Economics and specialized in Corporate Finance and Financial Markets, at University of Pisa, has decided to take this course to improve his background and acquire the skills necessary to be a person able to manage technological tools in order to make the best decisions.