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
deeplearning.ai
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
SuperDataScience
Advanced Computer Vision with OpenCV, SSD and Generative Adversarial Networks.
Nov 2019 - Now
Tensorflow 2.0 Practical Advanced
SuperDataScience
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
SuperDataScience
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
SuperDataScience
Basics of Supervised (ANN, CNN, LSTM) and Unsupervised (SOM, Boltzmann Machines, AE) Deep Learning.
May 2019 - Fall 2019
IBM Advanced Data Science Specialist
IBM
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
Neurosciences
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
Harvard
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
2019
Internship – Research
La Sottevillaise
Seeking for patterns in motor behavior, I'll go to this club to evaluate the multifractal differences between gymnasts.
2017-2018
Writer/Webmaster
Science Exploits
I wrote scientific articles on my blog, talking about diverse scientific fields.
2016-2018
Gymnastics Coach
L'Avenir du Houlme
I trained groups in urban gymnastics (street workout/parkour/freerun).
2018
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.
2017-2018
Internship – Physical Preparation
Dragons de Rouen
I trained groups from sep. 2017 to may 2018 at the CHAR (Centre de Hockey Amateur de Rouen).
2017-2018
Treasurer – Communication
Flying Elements
I was treasurer and manager of the 'communication' part in an association named 'Flying Elements'.
Coding skills
Julia
R
Python
Java
C#
Softwares
RStudio
Jupyter
Matlab/GNU Octave
Bioconductor
Visual Studio
Android Studio
Adobe Illustrator
Adobe Premiere Pro
Adobe After Effects
Proofs
Downloadable documents
passing grade : 91%
Using Python for Research
HarvardX
Certificate ID: fc189f8f9797452cb60202b1dff970c9 https://courses.edx.org/certificates/fc189f8f9797452cb60202b1dff970c9 Github link: https://github.com/clementpoiret/PH526x-Harvard-Python-Research