Giambattista R.
About Giambattista R.
Giambattista R. is a Senior Data Scientist at Novocure in Root, Lucerna, Svizzera, with a diverse background in machine learning, artificial intelligence, and big data solutions.
Current Role
Giambattista R. currently holds the position of Senior Data Scientist at Novocure in Root, Lucerna, Svizzera. He started this role in March 2023, bringing his extensive experience in data science, machine learning, and artificial intelligence to the company. Novocure benefits from his expertise in dealing with advanced data analytics and cognitive technologies.
Previous Experience at Roche
Before his current role, Giambattista worked at Roche as a Data Scientist from 2022 to 2023 for five months in Basilea, Svizzera. His responsibilities likely included data analysis, creating predictive models, and leveraging machine learning methods to support decision-making processes within the company.
Broad Industry Experience
Giambattista R. has a rich professional background that spans several high-profile companies. He has filled roles such as Data Scientist & Statistical and Math Expert at t2b AG, Big Data Software Engineer at SCIGILITY, Data Science Manager and ICEG IES CoE M@S Machine Learning Centre Of Excellence at Accenture, Process Mining, Big Data & Machine Learning Senior at Protiviti, and Big Data Senior Consultant at JAKALA. These positions covered a range of locations including Basilea, Zurigo, Dublino, and Milano and provided him comprehensive experience in various aspects of data science and big data technologies.
Co-Founder and Current Role at BIG-EKA
In addition to his role at Novocure, Giambattista is also working at BIG-EKA as a Data Scientist, Co-Founder, and Vice President in Italia. This entrepreneurial role allows him to leverage his data science skills and business acumen to contribute to the company's growth and innovation in providing data-driven solutions.
Educational Background
Giambattista R. has a solid educational foundation in engineering and data science. He studied at Experis Academy, focusing on Deep Learning, NLP, and Computer Vision, where he achieved a Master of Engineering (MEng) between 2021 and 2022. He also earned a Master of Engineering (MEng) in Data Science, Big Data, and Machine Learning from Università degli Studi di Milano-Bicocca from 2020 to 2021. His early academic endeavors include studying Ingegneria dei sistemi and attaining a degree in INGEGNERIA GESTIONALE from LIUC - Università Cattaneo over the span of five years from 2011 to 2016.