Data scientist consultant at Bridgestone EMIA

Analysis for automotive applications based on vehicle information and dynamics on large scale datasets.Experience with Azure cloud environment (Databricks, Spark, SQL) and Hive.Development of machine learning algorithms in Python (Linear models, Support Vector Machines, Decision Trees, Neural Networks).Analysis of digital signals with filtering techniques (IIR,FIR) and FFT.

Internship with thesis for the development of an anomaly detection algorithm for vibrational data acquired from a Structural Health Monitoring System (SHM) placed on a masonry bell tower, featuring semi-supervised deep learning and machine learning techniques.

Attività di tirocinio che prevedeva la realizzazione di una base di dati per guide turistiche di una o più città