Data Scientist and Data Analyst at Groupe Caisse des Dépôts, Georges develops advanced analysis and modeling solutions to optimize financial processes and improve decision-making. He contributed to enhancing short-term cash flow forecasts for CNRACL by more than 10%, reducing RMSE from €36.91M to €13.59M through approaches such as XGBoost and Prophet.
In parallel, he supports the Finance Department in redesigning its Accounting Information System: functional scoping, drafting deliverables, creating datamarts, automation with Alteryx, and developing strategic dashboards with Tableau Desktop.
His experience also includes industrial data analysis, process improvement, and teaching mathematics, strengthening his pedagogy and ability to simplify complex concepts.
Graduated with a Master’s in Data Analytics from IA School and trained in Data Science at ECE, he masters a wide range of tools: Python, R, SQL, Machine Learning, NLP, advanced visualization, and optimization methods. Curious and results-oriented, he combines analytical rigor with a strong service mindset to create value through data.
Professional Experience· 1
Data Scientist
Groupe Caisse des Dépôts
January 2023 -Present
Optimization of short-term cash flow forecasts – CNRACL pension fund and Overhaul of the Finance Department’s Accounting Information System (DPS) Optimizing forecasts (RMSE reduced from €36.91 million to €13.59 million) using advanced approaches. Expertise in technical support, project management, and user support, with strong proficiency in data tools and modeling.
Education· 2
Master's degree, Data analyst
IA School
2022-2024
Diplôme d'ingénieur, Big Data & Analytics
ECE. Ecole d'ingénieurs. Engineering School
2022
Affiliations· 2
Data for Good
Volunteer
November 2022-PresentAFEV
Mentor
December 2021-june 2022