Jules Viard Email & Phone Number

Grand Londres, Angleterre, Royaume-Uni

Londres Et Périphérie, Royaume-Uni

• Investigated portfolio optimization problems (life cycle models) using Deep Reinforcement Learning (DRL) frameworks.
• Compared DRL methods with Dynamic Programming, highlighting the curse of dimensionality and discretization issues.
• Implemented portfolio stochastic environments, neural network architectures, and policy gradient algorithms (DDPG, TD3).

Hambourg, Allemagne

• Machine Learning Engineer
• Worked in Data Analysis Group, within the world's largest X-ray Free Electron Laser.
• Extensively collaborated with PhD student and numerous experts to build predictive maintenance.
• Managed and preprocessed very large dataset (hierarchical structure h5py).
• Applied Machine Learning models on time series vector to detect anomalies patterns.
• Developed an open source library (Git, CI/CD integration) for spectral analysis (SSA).

Genève, Suisse

• Worked in a data science team for inventory management, optimization and analysis of pricing
• Handled machine learning models to make sales forecasts (time series, pattern recognition)
• Adjusted machine learning models with KPI (KMSE, MAE, RMSE, ROC curve)
• Conceived data processing: pipeline, data cleaning, data sorting, application of data filters (Kalman filter)
• Visualized set of data, established data table and graphics

Master'S Degree, Computing (Finance And Management), Distinction

• Thesis: Stable Machine Learning Algorithms in Finance: Portfolio Optimization through Reinforcement Learning. Under the supervision of.

Master'S Degree, Engineering

Coursework includes: • Computer Science : Data Structures and Algorithms, Machine Learning, Networks, Graph Theory and Optimization.

Preparatory Classes For French Grandes Ecoles

• Preparatory classes: two years intensive undergraduate program in STEM preparing for the nationwide competitive entrance exams for.