I am Rayen Jlassi, an aspiring Data Scientist with a strong academic foundation in Data Science and Actuarial Science. My passion lies in leveraging AI, predictive modeling, and quantitative risk assessment to develop data-driven solutions. With expertise in Python and proficiency in deep learning frameworks and data analysis tools, I combine advanced algorithmic techniques with robust statistical methods to derive insights, predict trends, and model financial risks. My unique dual background allows me to excel at the intersection of technology and finance, delivering impactful results. I am skilled in Machine Learning (ML), Deep Learning, Generative AI, Large Language Models (LLMs), RAG/Graph RAG, MLOps, and Optimization in Machine Learning. I am a collaborative team player, fluent in English, French, and Arabic, and eager to contribute to innovative projects that push the boundaries of data science and actuarial science.