This content appears above the formatted about page content.
About
I am ….
EDUCATION
NATIONAL SCHOOL FOR STATISTICS AND DATA ANALYSIS (ENSAI)
Risk management
Rennes, France
2022 - 2024
Master’s degree in an engineering school focused on statistical courses (Machine Learning, Time Series) and programming (Python,R,SQL). Specialized in final-year in Risk Management and Financial Engineering, covering topics like banking risks and scoring methods.
NATIONAL SCHOOL FOR STATISTICS AND ECONOMIC’s ANALYSIS (ENSAE)
Engineering in Statistics and Economics Course
Dakar, Sénégal
2020 - 2021
Completed the first year of a Master’s program in Economic Engineering, with coursework in Econometrics, Statistics, Programming, Macroeconomics, and Game Theory.
UNIVERSITY OF YAOUNDE I
Mathematics
Yaoundé , Cameroun
2017 - 2020
Earned a Bachelor’s degree with a focus on mathematics courses, including Numerical Analysis (using Python and MATLAB), Statistics, Probabilities, and Algebra.
PROFESSIONAL EXPERIENCE
QUANTITATIVE ANALYST | SOCIETE GENERALE
Final Year Internship
17 Cr Valmy, 92800 Puteaux
Apr 2024 - Sep 2024
- Integration of ESG risks into the default probability model for large corporations.
- Analysis of ESG risk transmission channels.
- Developed a methodology for integrating ESG risks into the model, considering the varying importance of ESG variables over time and the lack of historical data.
DATA ANALYST | HSBC
Final Year Project
ENSAI, Rennes
Nov 2023 - Mar 2024
- Developed and implemented a framework for incorporating climate models and data into strategic asset allocation.
- Analysis based on different climate scenarios proposed by the NGFS (Network for Greening the Financial System).
- Applied the Sharpe ratio and Black-Litterman models to optimize portfolio allocation.
RESEARCH ASSISTANT
INRIA : SISTM’s team
Bordeaux , France
Aug 2023 - Sep 2023
- Performed computational biology research to understand the immune response to the Ebola vaccine.
- Analyzed the impacts of age, gender, country, and laboratory variables on immune response variability using penalized regression techniques such as Ridge, Lasso, and Elastic Net.
MACHINE LEARNING
Class Project
ENSAI, Rennes
Nov 2023 - Dec 2023
- Implemented various machine learning models, including Random Forest, SVM, and XGBoost.