Valeria Daniele

Valeria Daniele, Ph.D., is a seasoned data analyst and scientist with extensive experience in data interpretation, predictive modeling, and machine learning across various industries. Currently serving as a Data Analyst at Subito since May 2021, Valeria has developed methodologies to enhance product innovation through data insights. Previously, as Lead Data Scientist at CNH Industrial, Valeria led a team in designing machine learning models, achieving significant predictive capabilities for combustion engines. Valeria's career includes roles at Accenture in natural language processing and data science, as well as postdoctoral research at CEA, where Valeria contributed to advancements in physicochemical methods. With a strong educational background, including a Ph.D. in Pharmaceutical and Biomolecular Sciences from Università degli Studi di Torino, Valeria demonstrates a solid combination of analytical skills and practical application in both academia and industry.