2019-2020

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.

Born in Padua in 1993, I moved to Bologna and graduated in Anthropology, Religions and Eastern Culture. I then moved to Rotterdam to attend the master in Arts, Culture and Society, where I studied social theories and research methods, with a focus on different ways of experiencing culture and the arts, and writing a thesis on Rotterdam Museums' visitors. Later, I moved to London where I worked for a well known research market agency, participating in international projects in several areas, both offline and online. My experience in London determined my decision to focus on the digital world and especially on Big Data, which are more and more critical in our society. I enrolled in the Big Data Analytics Master to acquire technical skills together with a broader knowledge on how to extract information from data and how to use it in a strategic and informed manner.

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.

After a Bachelor degree in "International and European studies" at the Univeristy of Milan where I have gained insight on the work of the European and International institutions, I decided to specialise myself in the migration field with the Master “Sociology of Migrations and interethnical relations” at the Paris Diderot University. Following some professional experiences in public and private institutions, I finally sign up for this Master in Big Data Analytics with the aim of gaining new skills and knowledge useful to analyze and study our complex society from a quantitative point of view.

After having completed my studies in humanities, with a bachelor’s degree in Comparative Literature and a master’s degree in Euro-American Languages and Philologies, I decided to start studying Big Data because I was fascinated with how the huge mass of information available nowadays can be used and analysed. I am confident that my linguistic background and my experience in the philological research will be an added value and a resource in the interpretation of the complexities and problems that this kind of analysis inevitably entails. I am particularly interested in neural networks and natural language processing, which I am hoping to further study in its various application, especially in conversational analysis. I have also experience with illustration and storytelling, so I am well aware of the opportunities that a well-structured narration has.

I was born in Firenze in 1993. I obtained a master's degree in Medical-pharmaceutical biotechnology with a thesis in the field of Transcriptomics. My passion for bioinformatics has been the trigger to enroll the Master for acquire new informatic skills to analyze Big Data. I firmly believe that Data Science is the career of the future in an ever-changing world.

I was born in Portoferraio in 1992. For my studies I decided to move to Pisa where I obtained my Bachelor’s degree in Economics and my Master’s degree in Banking, Corporate Finance and Financial Markets. During my studies I began learning MATLAB and R and I discovered the opportunity of using different software for data analysis. I’m interested in Data Science and its application to economics and the field of finance. I chose to attend the Master to improve my knowledge and skills in Data Science, in particular Machine Learning and Predictive Analytics.