Evolvere spa Gustavo Fara 35, Milano – MI JUNIOR DATA SCIENTIST Dec. 2017 – • Teaching Assistant in Data Science course for employees; • Involved in different projects, such as: • Production: Time Series Anomaly Detection algorithm, detection of production failure in Solar Panels; • CRM: client scoring system based on Client Ticketing, Interactive Gannt plot based on Client Ticketing; • Credit: client credit scoring, missing payments prediction/classification; • IT: researching for possible Smart Home services involving user habits; • Marketing: client cluster analysis via Energy Consumption; • Principal software used: RStudio. Esselunga

Cernusco Lombardone, LC AISLE ASSISTANT Oct. 2013 – Exp. Mar. 2014 • Load/Unload stock merc. • Aisle attendance.

BRITISH BOOKSHOP Frankfurt am Main, DE PROGETTO MOBILITAZIONE EUROPEO “LEONARDO F.O.U.R.” Aug 2010 • High-School Stage in an english library • Book stocking organization

Education I.T.C. F. Viganò Merate, Italy HIGH-SCHOOL DIPLOMA 2006 – 2011 • Economia Aziendale, Informatica, Diritto Pubblico e Commerciale, Inglese University of Milano-Bicocca Milan, Italy B.A. IN ECONOMICS 2011 – 2015 • Economia Aziendale, Informatica, Statistica per la Finanza, Macroeconomia, Mercati Mobiliari • Thesis Title: ”Simulazioni Statistiche nei Modelli Mistura” University of Milano-Bicocca Milan, Italy MASTER DEGREE IN STATISTICS 2015 – 2017 • Probabilità Applicata, Data Science, Machine Learning, Statistica Avanzata, Modelli Statistici • Thesis Title: ”Analisi del potenziale informativo di Big Data semantici per la profilazione degli utenti web.”

Skills Statistics Programs RStudio, SAS, Stata, SPSS Statistics Certifications Online certified Data Science Courses at datacamp.com Programming Python(Basic), C (Basic), SQL (Basic), LaTeX O.S. Macintosh, Windows, Linux Languages English (FCE), French

Projects Data Mining Competitions www.beeviva.it GROUP MEMBER Dec. 2016 • Data mining challenges for classification and regression, during Data Science Exam • Datasets used: Titanic and Ames – Used Random Forests for both Machine Learning Project ML Exam GROUP MEMBER Jun. 2016 • Machine Learning project for ML exam (Master Degree) • Built a Neural Network in Python for Time Series prediction Economics for Data Science project Eco. for DS Exam GROUP MEMBER Jun. 2017 • Data Science project for Economics for DS exam (Master Degree) • Built a model for Unemployment rate prediction using Google Trends