Mario is a Data Scientist in the Infrastructure and Networks Digital Hub of Enel, a multinational energy company generating energy with a managed capacity of more than 88 GW and with almost 72 million end users around the world. He has a B.Sc. in mathematics and a M.Sc. in statistical sciences.
Since joining Enel, his main task has been to improve the analytical approach in identifying fraud and anomalies related to electric meters. After a deep dive regarding the strategies used by seven Enel distribution companies located in South America, he defined a new machine learning pipeline applicable to the circumstances of each of these.
Current results obtained by the project show that a modern machine learning approach in a big data context can indeed boost the performance of classical statistical approaches.