Mohamed Amine Hamzaoui

I’m a data science engineer with a knowledge in machine learning, data analysis, and AI systems. I’ve completed several internships where I tackled real-world problems across diverse sectors health research, aviation, insurance, agriculture, and banking. My experience ranges from building clustering models for Parkinson’s disease research to designing AI agents for optimizing workforce allocation at Qatar Airways.

I’m particularly skilled in Python, data pipelines, NLP, and graph analytics using tools like Neo4j and spaCy. I enjoy developing models that not only predict but also explain behaviors—whether it’s detecting fraud, forecasting livestock production, or modeling disease progression.

What motivates me is applying AI in ways that bring tangible improvements, and I’m constantly learning—whether it’s through deep learning, statistical modeling, or deploying real-time systems.

I first studied Finance at ISG Sousse, I really loved the accounting material there but I focused on mathematics, statistics and financial modelling & analysis.

Then, I switched off to the Information technology world and I really struggled at the beginning but I found my self comfortable doing mathematics there that's why I chose data science as a career.

I really enjoy learning mathematics and applying it to machine learning and deep learning.