Lazio

Daniele Campisano

Campisano

A native of Rome, I completed my master's degree in Economics (Quantitative Finance) in 2016, at University of Rome “Tor Vergata". My graduate thesis focused on gap risk measure for a portfolio covered by a CPPI strategy. After graduating, I worked as a business consultant for a software house for a year, but I understood that, given my inclination for IT and the increasing importance big data have in our world, I wanted to pursue a career in data science. This led me to the University of Pisa's Big Data Analytics course, in order to acquire necessary skills and knowledge in the data analysis field, something I consider as a natural extension of my past quantitative studies.

2016-2017

Amelia Morricone

Morricone

Amelia graduated with honors in Economics at Roma Tre University and obtained a master degree in Innovation Management and Service Engineering from Sant'Anna School of Advanced Studies. She has been working as an analyst within a client-focused business so far and she has decided to better off her quantitative and computing skills to support with confidence data-driven companies. Amelia takes great satisfaction from providing context to brillant ideas, sharing knowledge and using learning to improve.
https://www.linkedin.com/in/ameliamorricone

2015-2016

Mario Massimo Mazzarella

Mazzarella

Mario Massimo Mazzarella, born in Rome on 29.09.1982. Master's degree in mathematics at Sapienza University of Rome, with a  thesis in data's sequence analysis “Similarity between texts with Burrows-Wheeler Transform”, and Erasmus at Royal Holloway University of London. Agesci chief scout from 2003 to 2007. Language: English, PET Certification. Programming language: C, C++, Python, SPARK, JavaScript, Matlab. 

2014-2015

Michele Lupo

Lupo

Born in Rome on 27/09/1986. He holds a master's degree in philosophy with full marks in 2014. He started working as a journalist in 2010, coming to write for various newspapers and hold the role of managing editor. From January 2013 has joined the Italian Order of Journalists. He attended two training courses on linked open data and the semantic web, which gave him the opportunity to learn the representation with the description logic of a domain of knowledge in the form of ontology with language rdf / owl. The passion for informatics and interest in the tools of statistical analysis, fundamental to the social and scientific disciplines, led him to choose this master.
https://it.linkedin.com/pub/michele-lupo/93/46/260

2014-2015

Marta Catalano

Catalano

Marta received her Master degree in Mathematics from the Sapienza University of Rome in 2015. After a Master Thesis in Knot theory, her interests gradually moved towards Machine Learning and Data Science. She would be interested in pursuing her studies both in Computer Science and Statistics.

2015-2016

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