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I graduated in 2014 at the University of Pisa with a Master's Degree in Molecular and Industrial Biotechnologies with an experimental thesis on the role of a poplar protein in zinc tolerance processes in the field of phytoremediation of soils polluted by heavy metals. During my career I understood the importance of a multidisciplinary approach to problem solving and also the importance of data management and interpretation. The decision to enroll in the Master in Big Data Analytics & Social Mining derived from the desire to acquire skills in this area.

Barbara Ranghetti is 26 years old and was born and raised in Bergamo. She attended the Faculty of Physics at the University of Milan-Bicocca, getting a bachelor's degree with an experimental thesis conducted at the university's radioactivity lab, in the field of environmental applied physics. She graduated cum Laude at the same university in November 2018, with a thesis entitled "Characterization of neutron fluxes through neutron spectroscopy measurements", conducted at the university's radioactivity laboratory and at the ENEA research center (Casaccia , Rome). During the master's degree she begins to take interest in Big Data and decides to continue her studies by attending the Master's program, to expand her computer skills applied to data analysis.

After Liceo Classico, she enrolled in Economics and at the age of 24 she began her career in consulting offices getting Certification as Public Accountant (Commercialista). She spent a period in tax consultancy and financial analysis at leading offices in Milan, but over time she became interested in turnaround management and banking litigation. Thanks to her experience she understands the importance of a compliant management (/use) and statistical analysis of data, above all with strategic purpose. She chose to attend the Master to give added value to her proficencies, intending to learn advanced tools for data analysis and management.

I graduated in 2010 at the Ural Federal University of Ekaterinburg, Russia as Nuclear Engineer, with a specialization in Radiation Protection of Human and Environment. In my third year at university I became interested in economic disciplines, so I undergraduated in Economics and Business Administration, in parallel with the main course. After the graduation I started to work for the Russian federal enterprise «Rosatom», which is responsible for the whole cycle of treating and accounting radioactive waste. As an engineer of management and control, I was responsible for collecting data for the Russian Federation database of radioactive waste, with further use of these datasets for analysis and statistical studies.

I graduated from the University of Pisa with a Bachelor's degree in Biomedical Engineering and a Master's degree in Management Engineering. During my master thesis, driven by a strong curiosity, I approached the study of Data Mining and Machine Learning. Specifically, I used these techniques on a large dataset of Emergency Department visits to build predictive models of patient waiting times. I am currently a research fellow at the Department of Energy, Systems, Territory and Construction Engineering of the University if Pisa where I study predictive analytics applied in the healthcare field. I enrolled in the post graduate course in Big Data Analytics to improve my programming skills and explore the wide variety of techniques offered by Data Science.

She graduated in Biology with maximum scores in 2014 at Pisa University, where she obtained the International PhD in Biology with honors in 2018. She was involved in two different European projects aimed to transfer know-how between universities, where she carried out her research on microbial ecology and evolution. She is author of 7 scientific publications and was speaker at many international scientific congresses. She has also teaching experience as assistant, and Adjunct Professor for several zoological and molecular courses. Now she is Research Fellow at the Department of Biology of Pisa, and she deals with the study of microbial communities using innovative NGS techniques. Her interest in bioinformatics has been the trigger to enroll the Master for acquire new informatic instruments to analyze Big Data.

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.

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.

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.

She got a bachelor's degree in foreign languages and cultures and a master's degree in publishing and writing, specializing in investigative journalism. She has written for various newspapers and she regularely realized inquiries and reports for D, magazine of the newspaper La Repubblica. Working for the magazine on gender economics ingenere.it, data became something she refered to more and more assiduously. She then attended a data journalism summer school at the university of Trieste and a course on visual journalism at the university of Bolzano. Since 2015 she’s been working at Openpolis, a civic observatory that uses open data for transparency projects regarding institutions and public administrations. She delved into the aspects of narrative reporting and studied editing techniques, linguistic simplification and editorial desk obtaining a master in copy editing.
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