Abibatou Amar

I am a dedicated data analyst and statistician with a Master's degree in Data Science from ENSAI. My expertise lies in developing predictive models and analyzing complex datasets to drive informed decision-making. Since 2022, I have been working as a Quantitative Analyst at Société Générale, where I focus on predicting the probability of default under the IFRS9 accounting standard. My role involves creating and analyzing databases, developing models, and ensuring their viability over time.

Prior to my current position, I completed internships that honed my skills in quantitative analysis and data science. At Société Générale, I contributed to the inclusion of ESG variables in credit risk rating models, enhancing the robustness of our assessments. My internship at AI Factory of Crédit Mutuel Arkéa allowed me to work on the CamemBERT algorithm, showcasing my ability to apply advanced machine learning techniques in real-world scenarios.