Redouane B.

Data Scientist R & d @IRT Jules Verne

Nantes, FR

Developed machine learning models for ultrasound data processing and defect identification, utilizing advanced signal processing for acoustic signature identification- Leveraged high-resolution imaging machine learning solutions to automate NDT tasks while incorporating uncertainty analysis to ensure high accuracy in industrial applications- Automated non-destructive testing workflows for imaging and ultrasound, enhancing defect detection speed and precision.