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My name is Gianluca and I am from Castelnuovo di Garfagnana, a small town in Tuscany.
I graduated in Economics at University of Pisa and Scuola Superiore Sant’Anna. During my 2-year MSc, I had the chance to develop my research skills. Firstly, as a research intern at ISTAT, afterward as a teaching assistant in Microeconomics, and finally as a research analyst for a boutique investment manager. My latest experience before joining the master was at Finscience, a fintech data-driven company, where I served as a research and business analyst.
Both my academic and professional experiences made me realise how crucial big data are for research, regardless of the field, and that specific and vertical knowledge is fundamental to let data speak.
Music addicted, I enjoy playing guitar, tennis, chess and love hiking.

I am a researcher with more than 8 years of professional experience in the Neuroscience field, with emphasis on electrophysiology and behavioral biology. I have also considerable experience in project management (both in Academia and collaboration with cosmetic companies) and excellent ability in data visualization, analysis, scientific writing and presentation (with good command of Python, R, Matlab and Latex).
I am also responsible for the creation, maintenance and update of an online database providing toxicological data-sheets for ingredients employed in cosmetic products: the NOAEL-project 2.0.
I’ve chosen the SoBigData master because of its supervised learning-path, covering all the basic aspects needed by a data scientist and in which it is possible to actively interact with team-mates in order to complete projects or single tasks.

My name is Guglielmo Giomi, I come from Tuscany and I am an interdisciplinary designer and researcher. I hold a Bachelor's degree in Communication Design from the Politecnico di Milano and a Master in Photography & Society from the Royal Academy of Arts The Hague (Netherlands).
I am interested in the notion of information along its entire path, from extraction, through processing, to its dissemination. In my personal research, I am interested in territorial minorities, spatial empowerment and experimental open-data paradigms. I started the Master in Big Data Analytics to learn quantitative methodologies necessary to understand complex phenomena more deeply and to be able to scientifically communicate on fast-changing issues related to data.

I am an enterprising person, always looking for new challenges. I studied at the Faculty of Economics and Management of the University of Pisa and then I continued my master studies in Banking, Corporate Finance and Financial Markets.During those days thanks to some projects, I began to know better the world of Big data and for this reason, I decided to undertake this experience, to complete my studies. The Master has been a unique experience that has allowed me to grow a lot.

I was born in 1994 in a small town between Naples and Salerno. My passion for Physics and Mathematics led me to obtain a master’s degree in Physics at University of Naples ‘Federico II’ in 2019. The thesis concerned the application of the physics of Complex Systems to chromosome 3D architecture. After the degree I won a scholarship in the USA for a three-month project about gravitational wave signals. When I came back, I got a job in the financial area, and I have spent one year working as Analyst at Deloitte in support of the Market Risk Office of Intesa Sanpaolo. The data drove me in all my experiences. So, to deepen the analysis of big data and learn how to use them to extract useful knowledge in different areas, from scientific to economic ones, I decided to attend the Big Data Analytics & Social Mining Master. After the Master I would like to work as a Data Scientist in R&D departments.

After a Bachelor in Biomolecular Sciences and Technologies in Trento and after working in Novartis on a Data Analysis project, I decided to combine my biological background with my passion for computer science by enrolling in the Master in Quantitative and Computational Biology. Here, studying subjects such as Biostatistics and Machine Learning, I discovered a passion for data analysis, data visualization, and predictive model building. After taking part in several Data Science projects related to Biology, one of which is my Master thesis focused on applying novel feature selection methods for the discovery of new antimicrobial targets, I enrolled in the Master in Big Data & Social Analytics to strengthen and expand my knowledge in the world of Big Data and start my career in the field of Data Science.

Born in Pietrasanta (LU) in 1994, after the bachelor’s degree in Business and Economics at University of Pisa, I moved to Rome where I graduated from LUISS Guido Carli in Economics and Finance. I Worked as consultant at a Big Four firm. I decided to enroll in the Master because I believe that in today's society, reshaped by Big Data, it is necessary to acquire useful tools to disentangle information from noise, in order to offer decisive support to industrial and research projects.

I earned both my Bachelor and my Master in Philosophy at the University of Salerno. During my studies, my main area of interest has been comtemporary philosophy with a focus on the phenomenological movement, a tradition that has inspired me to always seek an interdisciplinary approach. In this spirit I chose to attend this Master, convinced not only by the importance of acquiring skills in the fields of management and analysis of data, but also by the philosophical relevance of many of the questions data science gives rise to. The lectures and the seminars held within the Master have strengthened my conviction showing the richness of the spectrum of disciplines and themes involved in working with data.

I am a philologist and translator of East Asian Languages (Japanese and Chinese), my are of interest is of course Natural Language Processing.
My higher education begun back in 2014, when I started my BA in Language culture and society of Asia and Mediterranean Africa at Ca'Foscari university of Venice. During my last year at Ca'Foscari, I was bestowed with the Monbukagakushō scholarship by the Japanese government, which allowed me to spend one year at Osaka University; there, I continued my research on pre-modern Japanese Literature. Finally, in 2019 I completed an MA in Japanese literature at SOAS University of London.
I started teaching myself Python programming and Data Science at the beginning of the pandemic and I immediatly fell in love with transformer NN and other language models, with their ability to solve natural language understanding and translation tasks. This is what convinced me to pursue a career in Data Science.

Driven by great passion, I enjoy working on projects which require data analysis to support business decisions.
I decided to enroll in the master's program, fascinated by the great opportunities emerging from Data Analytics tools.
After graduation, I had the chance to work in consulting services in the financial industry (experience: 1.5 yrs), in particular in Corporate Finance transactions, Financial Reporting (i.e. IFRS 17 Transition Project) and Fintech credit brokerage.
As a business economics student I worked on a thesis project on the topic of agency costs between management and shareholders, analyzing the relationship between the structure of managers' compensation and the tendency to short termism in investment choices.