2017-2018

Cominotto Andrea

Cominotto

Born in Pisa, I graduated in Economics and Commerce and later in Marketing and Market Research at the University of Pisa, with experimental thesis on happiness induced in consumers by the acquisition of material and experiential goods. My studies have stimulated an interest in consumer behavior, CRM and business performance analysis in marketing campaigns. I am also interested in the areas of Data Visualization and Machine Learning, which I consider very useful to add to my knowledge. The master in Big Data offers me a wide range of tools to increase my skills, as well as fundamental notions of computer science and programming.

2017-2018

Savastano Franco

Savastano

He is from Rome and he holds a Bachelor’s degree in Biology and a Post graduate Master’s degree in Biological Oceanography and Marine Biology. The experience and the knowledge he gained in the scientific and IT field both during the internship and doing research for his thesis project at ISPRA (Istituto Superiore per la Protezione e la Ricerca Ambientale), led him to comprehend how important it is, for a scientific team, to have a professional figure skilful at elaborating and interpreting data. Therefore, he decided to enrol in the Big Data & Social Mining Specialization Course at the University of Pisa, setting the goal of acquiring the typical Data Scientist skills in order to employ them in scientific research, as well as in its decisional process, focusing on their application in the environmental field.

2017-2018

Leuci Giulio

Leuci

I was born in Grosseto in 1992. I got my B.Sc. in Physics and Advanced Technology at the University of Siena and my M.Sc. in Physics at the University of Pisa, where I attended some Medical Physics courses. Driven by curiosity about Data Science application in medicine, I decided to attend this Master because I would like to learn other application fields to broaden my work horizons.

2017-2018

Gigli David

Gigli

Born in Macerata in 1987, he studied Theoretical Physics in Pisa and graduated in 2014. During his years of study, he was able to take part in the ethical and political issues of Big Data, especially those coming from social media. He worked for two years in an IT company (Advanced Computer Systems S.r.l.) on a software automation control project. In 2017 he enrolled in the Master in Big Data & Social Mining with the aim of obtaining more specific knowledge of the world of Data Science.

2017-2018

Vilasi Andrea

Vilasi

Born in Reggio Calabria in 1992, he took a Master Degree in Theoretical Physics in Pisa in 2016, with a thesis on Quantum Chromodynamics (the theory that explains the strong interactions between quarks). After an internship in Rome in E&Y, he got interested in Network Science and Big Data Analytics, and decided to enroll in the Master. Passionate about creative writing, he opened in 2017 a blog of short stories, "The Open Tap".

2017-2018

Pisanu Ignazio

Pisanu

My name is Ignazio, I’m 25 and I am from Sardinia, where I lived until 18. I then moved to Pisa where I obtained a BA in History and Philosophy. I participated in an Erasmus exchange programme and studied in Corte (France), where I worked on my dissertation. I started a master's degree in Mass Media and Politics at the University of Bologna and acquired skills in political communication and public opinion analysis. In 2017 I was awarded a scholarship to spend five months in Russia at the People’s Friendship University of Russia. There I had the opportunity to study at the school of International Journalism and started a research project on public opinion analysis, which later inspired my master’s dissertation. I graduated with honours in 2017. During the university years I worked for three Italian newspapers as an editor and a journalist and was in charge of the online newspaper Cronacastorica.net.

2017-2018

Ambrosini Rebecca

Ambrosini

Born and actually living in Lucca; Degree in Mathematics at the Pisa University. I work as analyst since 2003 by Agos Ducato SpA, a consumer credit company leader in Italy. I decided to apply for the Big Data Analytics’ Master to enrich my competences with new analysis technics developed on the market, for example on social networks or web text’s analysis, always in respect of ethics.

2017-2018

Lepore Isabella Maria

Lepore

I majored in philosophy and I'm a PhD student at the University of Roma Tre and Roma Tor Vergata. I'm currently working on Isaac Newton's metaphysics and theological unpublished manuscripts. I approached the world of big data and data mining to satisfy my curiosity and to learn new things.

2017-2018

Ruzza Stefano

Ruzza

Stefano was born in Turin on 1987. He earned a BSc in Physics from the University of Turin with a dissertation on the processes of epidemic diffusion on complex networks. He then obtained a Master's degree in Astrophysics and Theoretical Physics from the same university. His dissertation is entitled: "Statistical Inference and Criticality". Stefano collaborated with an IT company in compiling statistics on football events and currently works as a scientific communicator for primary and secondary school children at a teaching laboratory in Turin.

2017-2018

Kohnke Laura

Kohnke

She was born in Messina, and she got her Master's Degree in Literary and Non-fiction Translation with a score of 110/110 with honours in 2016. In the same year, she attended the School of Advanced Technologies for Translators (SATT) at the Fondazione Bruno Kessler of Trento, where she achieved a certification of skills in the use of the CAT tool MateCAT. She has worked as an English teacher both in private language schools and in public schools as well. She has also held the role of Italian language assistant at the Modern Languages department of Cardiff University while working as a freelance translator for Translated. In 2017 she attended a 2nd level specialization course held at the University of Pisa on Big Data & Social Mining to integrate her linguistic knowledge with innovative tools, focusing her attention on computational analysis, digital texts processing, and Machine Learning.

2017-2018

Pages

Subscribe to RSS - 2017-2018

Partners