Europass Curriculum Vitae
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1 Europass Curriculum Vitae Personal information Surname / First name Pozzi, Federico Alberto Address Via San Martino, 67, 20017, Rho (Mi), Italy Telephone(s) Mobile: (s) federicoalbertopozzi@gmail.com Nationality Italian Date of birth April 10, 1987 Gender Male Profile I am a developer with a strong passion for technology. Moreover, I have acquired outstanding expertises on Sentiment Analysis applied to Social CRM, Social Learning, Digital Media Entertainment and Finance that gave rise to several scientific publications. During my Master s degree and Ph.D. I also collected different international experiences (UK, Germany, USA). Work experience Occupation or position held 2006 Computer programmer - Development of websites in HTML, PHP and JSP languages, over MySQL; - Development of management software (warehouse stocks, etc..); - Design and development of MIND TweetViz Toolkit, a twitter visualizer which computes and displays the sentiment of tweets in real time on several interactive maps. Among different features, it offers the possibility to reply to tweets and to see detailed information about them and their authors. The underlying algorithms are applicable to Social CRM and Social Learning. Demo at youtube.com/watch?v=ef-vinrmpqu (Desktop version) and youtube.com/watch?v=fxb4tivubma (Android version) - Graphic advertising in Adobe Photoshop. Freelancer Computer Science 06/ /2013 Occupation or position held Research Collaboration Cooperation in loco with OptiRisk Systems (Prof. Emeritus Gautam Mitra) on Social Media message classification for Sentiment Analysis in Finance OptiRisk Systems, R&D House One Oxford Road, Uxbridge, Middlesex, UB9 4DA, United Kingdom Computer Science applied to Finance Occupation or position held 01/01/2012 Teaching experiences - UML modeling data and processes for the project PON01_01286 ejrm: Electronic management of relations with the justice system - Laboratory teaching for Programming 1 (2013/2014) - Tutoring activity for Linguaggi di programmazione (12/13), Probabilità e Statistica per l Informatica (12/13) and Algoritmi e ricerca operativa (11/12) Page 1 / 5 - Curriculum vitæ of
2 - Co-Supervisor of various Bachelor s and Master s degrees in Computer Science University of Milano-Bicocca, Department of Computer Science Education 04/ /2011 Occupation or position held Internship 05/ /2009 Occupation or position held Internship 06/ /2007 Occupation or position held Computer programmer An accurate work of data analysis by statistical methodologies has been performed to understand the links between market risk and financial news. In particular, a model to calculate the Value-at-Risk has been implemented exploiting the sentiment provided by the news. Finally, a working prototype has been developed. Fraunhofer ITWM Department of financial mathematics Fraunhofer-Platz 1, Kaiserslautern (Germany) Research Center As part of the European research project COIN, an agents platform (web side) for the management of trading business documents in UBL format has been designed and developed. Txt E-Solutions - R&D Laboratories Via Capelli, 12, Milan (Italy) Computer Science Design and development of an administration software to manage members of swimming courses. The administrator of the software is notified when a certificate is going to expire, providing the contact details of the involved user. Municipal swimming center in Rho Molinello Via Trecate, 52, Rho (Italy) Sports area 03/ /2007 Occupation or position held Computer programmer Development of a software for managing motorbike revisions. The owner of the software is alerted when the last revision of a motorbike is going to expire, and he is provided with the contact details of the motorbike owner. Officina Moto Tallarigo Via Italo Calvino, 7, Rho (Italy) Mechanical area Education and training Title of qualification awarded 01/01/ /02/2015 (expected) Ph.D. candidate in Computer Science. Title of the thesis: Probabilistic Relational Models for Sentiment Analysis in Social Networks My research interests primarily focus on Data and Text Mining, Machine Learning, Natural Language Processing, Business Intelligence and Social Network Analysis, in particular applied to Sentiment Analysis and Community Discovery in Social Media. University of Milano-Bicocca, Department of Computer Science Page 2 / 5 - Curriculum vitæ of
3 06/01/ /04/2014 Title of qualification awarded Visiting Ph.d. student at the University of Illinois at Chicago supervised by Prof. Bing Liu I proposed an unsupervised model called Networked Aspect-Sentiment (NAS). With a strong applicability to Digital Media Entertainment, NAS combines text contents and the social network structure to simultaneously tackle sentiment classification and aspect extraction. University of Illinois at Chicago (UIC), Department of Computer Science 51 S. Morgan Street, Chicago, IL Title of qualification awarded 01/01/2012 Research Activities - Invited talk at the Department of Computer Science of Brunel University to hold a seminar on Probabilistic Relational Models for Sentiment Analysis in Social Media (London, 27 June 2013); - Invited talk at the conference of Big Data in the Context of Financial Analytics and Social Media (London, 5 December 2013) and Behavioural Models and Sentiment Analysis Applied to Finance (London, June 2014); - Reviewer of Journal of Intelligent Systems and International Conference on Computational Linguistics (COLING). University of Milano-Bicocca 2011 and 2013 Title of qualification awarded Grants - In 2011, I received a scholarship of 5 months provided by the University of Milano-Bicocca with the contribution of Fondazione Cariplo ( EXTRA plus international mobility program) for a research period at the research center Fraunhofer ITWM (Germany); - In 2013, I received a grant for the proposed research project ICT4CITIZEN. It is funded by MIUR (EUR 536,800.00), P.O.N. initiative SMART CITIES AND COMMUNITIES AND SOCIAL INNOVATION. Fondazione Cariplo and Ministero dell Istruzione, dell Università e della Ricerca (MIUR) 11/ /2011 Title of qualification awarded Master s Degree in Computer Science with a mark of 110/110 cum laude. Title of the thesis: Development and application of a statistical analysis tool to detect news impact on market risk. Data and Text Mining, Business Intelligence, Machine Learning, Natural Language Processing, software design and development, hardware and software architectures, mathematical and probabilistic models, Statistics University of Milano-Bicocca, Faculty of Maths, Physics and Natural science 10/ /2009 Title of qualification awarded Bachelor s Degree in Computer Science, Financial and Management path, with a mark of 102/110. Title of the thesis: Negotiations of business documents in the data interoperability context. Computer programming, Data and Text Mining, Business Intelligence, Machine Learning, Natural Language Processing, software design and development, hardware and software architectures, mathematical and probabilistic models, Statistics University of Milano-Bicocca, Faculty of Maths, Physics and Natural science Page 3 / 5 - Curriculum vitæ of
4 Title of qualification awarded Diploma of perito industriale capotecnico specializzazione informatica with a mark of 91/100 Mathematics, Computer Science, Statistics and Electronics Stanislao Cannizzaro (Istituto tecnico industriale statale) Raffaello Sanzio, Rho (Italy) Personal skills and Mother tongue Other language(s) Italian Self-assessment Understanding Speaking Writing European level (*) Listening Reading Spoken interaction Spoken production English C1 Advanced C1 Advanced C1 Advanced C1 Advanced C1 Advanced (*) Common European Framework of Reference (CEF) level Social skills and Organisational skills and Computer skills and Artistic skills and Other skills and - Interest in social problems of my home town, with personal commitment to seek solutions that can improve life in the city through a political district candidature in the elections of the city of Rho (Milan); - Two years of summer work as a volunteer, assisting children with Down syndrome. - Good project management skills in a development team (acquired on European and Italian research projects); - Organization of a software project from design to implementation. - Excellent use of the most widely used Operating Systems (Linux, Windows, Macintosh) and programming languages (e.g., Java, Lisp, Prolog, PHP, Matlab, LTSA, Ampl), focusing on the web environment using advanced databases; - Excellent use of MS Office and good knowledge of Adobe Photoshop; - Excellent use of platforms such as Rational Rose, SQL, Visual Studio, Visual Paradigm, Eclipse, Netbeans, Weka, Febrl and Teiid Integration Server; - Android Programming; - Excellent use of modeling languages, such as UML and Entity-Relationship; - Excellent use of web servers (e.g., Apache Tomcat), NoSQL databases (e.g., MongoDB) and DBMS (e.g.,mysql and SQL); - Excellent use of Content Management System, such as MKPortal, WordPress and Joomla. - Outstanding knowledge of music, highlighted by ten years of piano; - Frequent piano solo concerts in public venues and theaters; - Excellent writing skills of scientific articles. - Rugby player in the Rugby Rho and ASR Milano teams. Subsequently, I have been an holder player in the under 19 Italian national rugby team. - Agonistic swimming for seven years and swimmer on an agonistic team for three years. Page 4 / 5 - Curriculum vitæ of
5 Scientific publications Driving licence(s) - Fersini, E., Messina, E. and Pozzi, F.A. (2014). Sentiment Analysis: Bayesian Ensemble Learning. Decision Support Systems. In press. - Pozzi, F.A., Chen, Z., Messina, E. and Liu, B. (2014). Aspect-Sentiment Modeling with Network Information. Submitted to Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). - Pozzi, F.A., Fersini, E. and Messina, E. (2014). Bayesian Ensemble Learning to identify sarcastic messages in microblogs. Submitted to Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). - Fersini, E., Messina, E. and Pozzi, F.A. (2014). Expressive signals in social media languages to improve polarity detection. Submitted to Information Processing & Management. - Pozzi, F.A., Fersini, E., Messina, E. (2014). Approval Network: a new modeling approach for Sentiment Analysis in Social Networks. Submitted to World Wide Web Journal. - Maccagnola, D., Pozzi, F.A., Fersini, E. and Messina, E. (2014). A relational clustering algorithm for discovering communities in social networks. To be submitted to Information Processing & Management. - Fersini, E., Messina, E. and Pozzi, F. A. (2014). Subjectivity, Polarity And Irony Detection: A Multi-Layer Approach. CLIC-it Pozzi, F. A., Maccagnola, D., Fersini, E., and Messina, E. (2013). Enhance user-level sentiment analysis on microblogs with approval relations. In AI*IA 2013: Advances in Artificial Intelligence, volume 8249 of Lecture Notes in Computer Science, pages Springer International Publishing. - Pozzi, F. A., Fersini, E., and Messina, E. (2013). Bayesian model averaging and model selection for polarity classification. In Proc. of the 18th International Conference on Application of Natural Language to Information Systems, LNCS, pages Pozzi, F. A., Fersini, E., Messina, E., and Blanc, D. (2013). Enhance polarity classification on social media through sentiment-based feature expansion. In WOA@AI*IA, pages B Additional information I hereby authorize the use of my personal details solely for circulation within the company according to the Italian Legislative Decree n. 196/2003 Page 5 / 5 - Curriculum vitæ of
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