About Vincent
French
Native or bilingual
English
Fluent
Experience
- Imperial College LondonResearch project - Student DeveloperMECHANICAL ENGINEERINGOctober 2021 - October 2022 (1 year)Londres, United KingdomAppliquer des techniques de Machine-Learning/AI guidées par la physique, notamment le Lagrangian Neural Network, pour modéliser les non-linéarités structurelles.Mots clés : Lagrangian Neural Network, Python, MatLab, Google JAX, Numpy.
- PersonelMachine Learning and Quantitative Finance python based projects.EDUCATION AND E-LEARNINGJanuary 2021 - Today (5 years and 5 months)Londres, United Kingdom▪ Markowitz Portfolio optimization: Implemented Markowitz portfolio optimization to diversify and select high-performing stocks from different sectors, prioritizing higher Sharpe ratios for optimized risk-adjusted returns and portfolio performance.▪ Arima model for predicting bitcoin returns: Utilized ARIMA model to predict Bitcoin returns by analyzingAutocorrelation and Partial Autocorrelation of BTC, training the model, and forecasting future returns over a 10-day period.▪ LSTM model for predicting bitcoin volatility: Developed LSTM model to predict BTC returns by capturingsequential data patterns and dependencies, enabling arguably accurate forecasting.▪ Banglore real estate price prediction: Created a website using HTML, CSS, and JS, and built a linear regression model for price prediction.▪ Real-time mask detection: Implemented computer vision techniques using TensorFlow and OpenCV for real-time mask detection.▪ Tweet emotion recognition model: Developed an NLP emotion recognition model using Keras and RNN,evaluating model performance with a Confusion Matrix.
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Education
- Diplôme d'ingenieur - MSc Advanced Mechanical Engineering and Machine LearningImperial College London2022▪ University ranking: 6th in the world [QS 2023] ▪ Relevant coursework: Machine Learning, Web, Advanced Mathematics, Optimization Algorithms, CFD, Finite Element Analysis.
- Diplôme d'ingénieur - MEng Engineering and computer scienceArts et Métiers Paritech | ENSAM2021▪ First Semester rank: 1st/1244 of engineering students. ▪ Relevant coursework: Statistics, Advanced Mathematics and algorithms, Object-Oriented Programming, Data Structures, Fluid Dynamics, Finite Elements, Management.
Certifications
- Machine Learning CertificationUniverité de Stanford - Coursera2022