Degrees and Certifications

Sep 2018 - Jun 2020

Master’s Degree in Training, Performance’s Optimization and Big Data

Université de Rouen

I am currently pursuing a Master's Degree at the University of Rouen. I learnt some Data Science principles (through R and Python) related to human movement and physical activity (Sports, Neurosciences, Physiology, Psychology, etc.).

Jan 2020 -

Deep Learning Specialization

Jan 2020 -

Reinforcement Learning Specialization

Alberta Machine Intelligence Institute

Nov 2020 -

Degital Signal Processing

Ecole Polytechnique Fédérale de Lausanne

Basics and Advanced Methods for Digital Signal Processing.

Dec 2019 -

Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs


Advanced Computer Vision with OpenCV, SSD and Generative Adversarial Networks.

Nov 2019 - Now

Tensorflow 2.0 Practical Advanced


ANN, CNN, Transfer Learning, Deep Dream, GANs, Tensorboard.

Nov 2019 - Now

Optimizing Machine Learning Model Performance

Alberta Machine Intelligence Institute

Nov 2019 - Now

Artificial Intelligence A-Z™: Learn How To Build An AI


Basics of AI with Q-Learning, Deep Q-Learning, Deep Convolutional Q-Learning and A3C.

Aug 2019 - Nov 2019

Deep Learning A-Z™: Hands-On Artificial Neural Networks


Basics of Supervised (ANN, CNN, LSTM) and Unsupervised (SOM, Boltzmann Machines, AE) Deep Learning.

May 2019 - Fall 2019

IBM Advanced Data Science Specialist


Thanks to IBM, I have been certified as an "Advanced Data Science Specialist". I learned methodologies such as CRISP-DM and ASUM-DM. I worked with scalable technologies such as Apache Spark and Apache Parquet, and developped various algorithms such as Convolutional Neural Network (CNN) and Stacked Long-Short-Term Memory Networks (LSTM).

May 2019 - Aug 2020


John Hopkins University

I followed courses “Introduction to Neuro Hacking in R” and “Fundamental Neuroscience for Neuroimaging”. I learned the theory behind medical imaging like (f)MRI, DTI and TEP. I practiced preprocessing and analysis of structal MRI in R with FSL, ANTs, and ITK.

Jan 2019 - May 2019

Nonlinear Dynamics: Mathematical and Computational Approaches

Santa Fe Institute

Introduction to complex systems through mathematics and computing. I had the opportunity to develop analytical solvers for differential equations (forward & backward euler, trapezoidal, runge-kutta 4) for both hamiltonian and non-hamiltonian systems.

Jan 2019 - Mar 2019

Fractals and Scaling

Santa Fe Institute

Introduction to scalar invariance in various cases. Mathematical view of Fractals.

Nov 2018 - Dec 2018

Using Python for Research


Basics of Python for Hypothesis testing, DNA sequencing, basics of Machine Learning and Statistics.

Sep 2015 - May 2018

Bachelor’s Degree in Sport’s Training

Université de Rouen

Jun. 2015

Scientific Baccalaureat

Lycée Louise Michel - Gisors

Work History


Internship – Research

La Sottevillaise

Seeking for patterns in motor behavior, I'll go to this club to evaluate the multifractal differences between gymnasts.



Science Exploits

I wrote scientific articles on my blog, talking about diverse scientific fields.


Gymnastics Coach

L'Avenir du Houlme

I trained groups in urban gymnastics (street workout/parkour/freerun).


Internship – Gymnastics Coach

La Sottevillaise

I worked at the Sottevillaise, one of the best Gymnastics Club in France. I was focused on the 'espoirs' group.


Internship – Physical Preparation

Dragons de Rouen

I trained groups from sep. 2017 to may 2018 at the CHAR (Centre de Hockey Amateur de Rouen).


Treasurer – Communication

Flying Elements

I was treasurer and manager of the 'communication' part in an association named 'Flying Elements'.

Coding skills









Matlab/GNU Octave


Visual Studio

Android Studio

Adobe Illustrator

Adobe Premiere Pro

Adobe After Effects


Downloadable documents

passing grade : 91%

Using Python for Research


Certificate ID: fc189f8f9797452cb60202b1dff970c9 Github link:

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