Younes MOUSTAHSINE

Developed and deployed AI and data science solutions to solve real-world problems, delivering automated pipelines and predictive models that improved data-driven decision making.

Collaborated on an automated image captioning project using CNN and LSTM in Python to generate descriptive captions for images.

Contributed to a real-time facial recognition system with a GUI and Firebase backend to enable automated assistance and identity verification.

Built a personalized fashion recommendation system using VGG16 embeddings to improve e-commerce product suggestions and user engagement.

Led a medical AI project predicting stroke risk using CNNs on medical and scan data, improving predictive accuracy for early intervention.

Applied BI, web development, and digital marketing to optimize financial processes and increase association visibility and engagement.

Led a web project to improve service visibility and data management, enhancing user access and administrative workflows.

Pursuing an engineering degree focused on artificial intelligence and digitalization with coursework and projects in AI applications.

Completed a Professional Bachelor's program in AI and Data Science with practical projects in deep learning and stroke risk prediction.

Completed a University Diploma of Technology in Business Intelligence with training in BI tools, data warehousing, and analytics.