January 2019 – Present: Data Scientist at Engie Italia Company overview: Engie Italia is a French corporation operating in the energy market. The company offers to the clients supply of electricity and natural gas. Furthermore, it offers energy efficiency services in order to address the major challenges of the energy transition to a low carbon economy. Coding Skills • Daily activities based on Oracle SQL Developer, Cloudera Impala, Tableau

September 2018 – January 2019: Data Scientist at DOING. – Capgemini Company overview: Doing is a Digital Consulting company based in Italy. It combines data analysis, service design, creativity, content and technology, offering to its customers the best marketing, communication, digital transformation and data solutions. For a fixed term project, I assisted an important company in the tobacco industry to research and provide an engaging customer experience for its clients. As Data Scientist, I gained critical insight from unstructured data and developed reports based on it, using the following models: • Natural Language Process models, such as Latent Dirichlet Allocation were used to extract topics of interest from the data. • Text mining techniques such as Tokenization, Stemming, n-grams, correlation between words, words frequency and words networks were applied. Furthermore, I built a data anonymization algorithm to protect the privacy of my client’s customers. Coding Skills • Daily activities based on Excel, Google Sheets and R-Studio.

April 2017 – August 2018: Data Scientist at X3 Energy Company overview: X3Energy is a fast-growing company operating in the energy market. The company has become a leading player in the B2B market offering supply of natural gas and electricity, energy efficiency services and operating CNG refueling stations. As Data Scientist, I worked on the following projects: • Graphical interfaces programming where clients could analyse the energy consumption. I used R, in particular Shiny and Markdown libraries, and SQL. • Developing reports and dashboard that provide clear visualization of industry KPIs using Microsoft Power BI and SQL. • Building predictive models for estimating client’s energy consumption using Machine Learning algorithms, such as Regression, Tree Based Methods(GBM) and Clustering. To do so, I used R, Tortoise, Tableau and SQL. • Developing algorithm for cleaning and improving the quality of the data Coding Skills • Daily activities based on Excel, R-Studio, Microsoft SQL Server, Microsoft Power BI and Tableau

June 2016 – March 2017: Data Analyst at Systra (Dublin, Ireland) Company overview: Systra is a French consulting and engineering firm, a world leader in transport infrastructure Coding Skills • Daily activities based on Excel, Saturn and R-Studio

February 2016 – June 2016: Data Analyst at Tyco (Cork, Ireland) Company overview: Tyco is the world’s largest pure-play fire and security company with over three million customers around the world. Coding Skills • Daily activities based on Excel, Datawatch Monarch

EDUCATION AND QUALIFICATIONS • Sept.2016 – June.2017, Dublin Institute of Technology, Geographical Information System Certificate (Dublin, Ireland) • Sept.2014 – Oct.2015, University of Glasgow, MSc in Statistics (Glasgow, United Kingdom) • Oct.2009 – Mar.2012, University of Bologna, Master’s degree in Statistics, Economics and Business (Bologna, Italy) • Oct.2005 – Oct.2008, University of Bologna, Bachelor’s degree in Finance and Insurance, Department of Statistics (Bologna, Italy)

COMPUTER SKILLS • Programming Languages: R, R-Shiny, R-Markdown, SQL • Data Visualization Software: Tableau, Microsoft PowerBI