October 2017–Present Universitary Researcher Description I’m working as a researcher at the data science and engineering lab at the University of Pisa’s Information Engineering Department.The work consists of several activities with the main objective of perfecting the work done for the master thesis consisting in the creation of a framework for profiling cities through data from web services.I am tuning the data mining and data visualization techniques used in the framework to improve the results and make it scalable for the analysis of any Italian and non-Italian cities.I’m integrating the previous work with new tools like MongoDB and Spark and new sources of data

Masters Thesis Title Design and Implementation of a Framework for Profiling City Areas From Web Service Data Description The work of my thesis revolves around the design and implementation of a framework that allows the characterization, profiling and clustering of city areas based on their similarities in terms of activities, social dynamics and living costs. The data allowing the framework’s operation originates from various kind of online platforms such as map services, touristic services aggregators and sell or rental advertisement websites. The project analyzes the online platform retrieved information via data mining techniques, giving the user various functionalities – such as the choices of the city to be profiled, the data source used, the clustering algorithm utilized, the result’s graphical visualization and the presentation of the analysis reports.

April 2017 Music Recommendation System, Participation at Data Science Game 2017. The aim of this project was to try to predict whether the test dataset users will listen to the proposed trace. The test dataset consists in a list of the first recommended tracks on Flow for several users. Each row represents one user. The train dataset was generated using the listening history of these users for one month. Each row represents one listened track.

September 2016 Visual Similarity Search with Lucene, Academic project. The software uses a Deep Convolutional Neural Network to recognize images from a dataset (Oxford Buildings). During the design I also carried out a performance evaluation of the system

July 2016 News Online Popularity Estimation, Academic project. The aim of this project was to make an application that can be a support service for anyone who wants to publish something like a news (e.g. an online newspaper, thematic blog, news aggregator). The goal was to provide an estimation of the future popularity of an article based on a classification made with multiple features, united with other information about the pertinence of the news with the actual trends. I applied the data mining techniques to build a classifier with the most accurate result possible

June 2016 Pisa Pollution Android App, Academic project. The project consists of an Android application and a remote server that communicate to exchange data obtained from a network of sensors. The application allows to view data concerning polluted areas in city areas in a colored heatmap

November 2015 PISO Converter, Academic project. The project consists in a VHDL description of a circuit that converts a parallel stream into a serial signal. I also performed a testbench for verification including the timings of the simulations made.

July 2015 Predicting bike rentals using Neural Networks and Fuzzy Systems, Academic project. Design and implementation, in a Matlab environment, of various type of Neural Networks to predict bike rentals number in Washington D.C. based on weather and seasonal information. In detail, in the first part of the project, after features selection phase, I developed and discussed Neural fitting models (MLP and RBF) and the Fuzzy fitting models (Mamdani and ANFIS). In the second part I developed a forecasting model (Closed Loop).

January 2015 Study of The Longest Job First Queue Policy in a single-queue single-server System, Academic project. The aim of this project is to study the response time of a queue+server system that serves jobs according to the longest job first policy. The case studies analyzed are the classic M/M/1 system and an M/G/1 system with a log-normal distribution for the service time.

Education 2014–2017 University of Pisa, Italy, Master’s Degree, Computer Engineering. I reached the Master of Science in Computer Engineering with grade of 105/110. The thesis was about the design and the implementation of a framework for profiling city areas. 2009–2014 University of Pisa, Italy, Bachelor’s Degree, Computer Engineering.

Skills & Abilities Programming Python, Java, JavaScript, C, C++, Html, PHP, SQL, MySQL, VHDL Tools Microsoft Office, Matlab, Weka, Latex, GitHub, Omnet++, MongoDB Operating Systems IOS, Windows, Linux, Android

Coursework – Business Intelligence – Computer Architecture – Concurrent and Distributed Systems – Electronic and Communications Systems – Informations Systems and Software Systems Engineering – Performance Evaluation of Computer Systems and Network Process – Mobile and Pervasive Systems – Multimedia Information Management – Intelligent Systems – Process-Driven information systems – Security in Networked Computing Systems – Supply Chain and Operations Management