Bassirou Ndao

WORK HISTORY

EDUCATION

SKILLS

ABOUT BASSIROU NDAO

Have the ability to build, validate, deploy and monitor alliteratively advanced predictive models• Have experiences in various machine learning use cases, such as time series analysis, regression, and classification• Have an expert understanding of machine learning techniques; knowledge of tools and packages such as TensorFlow, PyTorch, Keras, Scikit-Learn, XGBoost, Matplotlib.• Expertise in deep learning using PyTorch.• Strong quantitative academic background, strong problem solving and analytical skills.• Experience in researching, developing, and implementing quantitative models for measuring, analyzing, and managing financial risks.• Strong Knowledge of SQL and other standard database query tools and related applications.• Data modeling using Machine learning, Dynamic programming, Stochastic Process, Monte Carlo Simulation, Time series analysis, statistical modeling, Option Pricing Theory, Stochastic Calculus and Scientific Computing.• A strong background in data structures, algorithms, and object-oriented programming using Python and C++ primarily.• Statistical Analysis/Modeling mainly with R, SAS, and MATLAB.• Have excellent scripting and programming skills (such as Python, SQL)• Part time DESS candidate in machine learning at MILA.• Proficiency in French, and English.