Andrea Pagliarani holds a Ph.D. in Artificial Intelligence and Big Data Analytics at University of Bologna - Alma Mater Studiorum, with a thesis entitled “Big Data Mining and Machine Learning techniques applied to real world scenarios”. His research mainly focuses on the optimization of Deep Learning algorithms; the design of Big Data Analytics architectures; Opinion Mining and Sentiment Analysis of data from social networks, reviews, blogs, forums; the design of Recommender Systems; Stock Market Analysis and Trading Systems. He has published in international conferences and volumes. His expertise involves: Text Mining, Data Mining, Machine Learning, Deep Learning algorithms; Natural Language Processing methods; Opinion Mining, Sentiment Analysis; Time Series Analysis; Markov Models; Job Recommendation; Career Pathway Recommendation, and more.