Anas HAMOUTNI
Data Scientist | Applied Mathematician
Casablanca, Morocco
Data Scientist | Applied Mathematician
Casablanca, Morocco
I am a data scientist with 5 years of experience applying statistical modeling and machine learning to solve real-world problems. I hold an engineering degree in Actuarial Science & Quantitative Finance from INSEA (Rabat), where I built a strong foundation in probability theory, stochastic processes, and mathematical optimization.
My work focuses on building predictive models, conducting statistical analysis, and developing data-driven solutions. I am an Associate Member of the Moroccan Association of Actuaries (AMA).
GLMs, regression analysis, hypothesis testing, Bayesian inference
Supervised/unsupervised learning, deep learning, NLP, computer vision
Linear algebra, calculus, optimization, probability theory
Python, R, SQL, TensorFlow, scikit-learn, pandas
I have worked in actuarial consulting with leading insurance companies across Africa and the MENA region, including clients such as Allianz, AXA, and Sanlam. My expertise covers P&C pricing with GLM models, reserve estimation (IFRS 17, Solvency II), and enterprise risk analysis. This experience has strengthened my ability to apply rigorous statistical methods to complex, high-stakes business problems.