Giuseppe Furnari Email & Phone Number

Netherlands

Amsterdam, North Holland, Netherlands

Catania, Sicilia, Italia

- Applied Deep Learning techniques to perform colour transformation in 3D environments.- Performed Anomaly Detection on real semiconductors dataset using machine and deep learning approaches.- Shared knowledge and improved personal communication skills through attending and giving conferences and workshops.

Nijmegen, Gelderland, Netherlands

Guest researcher in the Data Science group. Collaborated with new colleagues on anomaly detection topics, and acquired new knowledge through seminars and meetings with group members.

- Conducted extensive research and analysis on production data to generate insightful reports on research activities.- Leveraged machine learning algorithms, such as OCSVM, Isolation Forest, AutoEncoder, VAE, to identify anomalies in semiconductor production time series and tabular data.- Utilized Python libraries and Power BI for effective data visualization and dashboarding, enhancing team understanding and decision-making processes.

Laurea Magistrale Lm In Scienze E Tecnologie Informatiche, Computer Science, 110L

Curriculum Data Science

Laurea Triennale In Scienze E Tecnologie Informatiche, Informatics, 110 E Lode