Freelancer profile translated to English.
Back to original languageAbout Marouane
Electronics engineer graduated from ENSEIRB-MATMECA school in Bordeaux. With 9 months of experience as a Data Scientist at Saft (Total), I have acquired in-depth knowledge in applied mathematics (Statistics, Linear Optimization, Probabilities...) as well as in programming in Python 3.0 and in libraries dedicated to data analysis and machine and deep learning such as (Pandas, Scikit-Learn, TensorFlow v2, Keras..). I am interested in Data Science projects whose objective is to use data to create Machine Learning models ready to be embedded in electronic boards.
Arabic
Native or bilingual
French
Fluent
English
Fluent
Can work on-site
Bordeaux (up to 50km), Toulouse (up to 10km)
Experience
- Saft Batteries (Groupe Total)Data ScientistENERGY AND UTILITIESOctober 2019 - January 2020 (3 months)Bordeaux, FranceAs part of a European project:>> Detection of an open circuit in an electric vehicle battery using artificial intelligence, Machine Learning and Deep Learning:- Thermoelectric study of an electric vehicle battery.- State of the art of Deep Learning algorithms used for fault detection in Time-Series (Articles, Scientific Publications...)- Study and understanding of the "Battery Model", a model created by the research team that models the operation of an electric vehicle battery.- Creation of the database to be used for training the neural network.- Training the neural network using command lines from MATLAB's Neural Network Toolbox.- Validation of the theoretically found result through electrical tests.- Improving the robustness of the neural network using new electrical tests.Tools used:Programming language:- MATLAB/Simulink- PythonLibraries:- MATLAB Neural Network Toolbox- MATLAB Statistics and Machine Learning Toolbox- Tensorflow v2 (Python)- Keras (Python)Others:- EXCEL- Pandas
- Saft Batteries (Groupe Total)Data Scientist InternshipENERGY AND UTILITIESFebruary 2019 - August 2019 (6 months)Bordeaux, FranceDetermination of the salt and solvent composition of a lithium electrolyte solution from Fourier-transform infrared spectra and Machine Learning:- State of the art of "Fourier-Transform Infrared Spectroscopy" technology (Publication, Consultation with chemistry engineers in the Research department).- State of the art of Machine Learning algorithms (Supervised and Unsupervised).- State of the art of MATLAB Machine Learning Toolboxes.- Analysis of the database containing chemical tests of different lithium electrolyte solutions and the corresponding Fourier-transform infrared spectra.- Development of MATLAB functions for extracting features from said spectra.- Use of a supervised Machine Learning algorithm (Linear Regression).- Construction of an appropriate mathematical model in the modeling part.- Use of mathematical optimization tools (Non-linear Least Squares...) in the prediction part.Classification of salt and solvent(s) in a lithium electrolyte solution:- Creation of a database on Excel.- Use of Deep Learning algorithms for classification.Tools used:Programming language:- MATLAB/SimulinkLibraries:- MATLAB Neural Network Toolbox- MATLAB Statistics and Machine Learning Toolbox- MATLAB Optimization ToolboxOthers:- EXCEL- Pandas (Python)
Recommendations
Be the first to recommend Marouane
Help this freelancer shine by sharing your experience working together.
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Electronics engineerENSEIRB MATMECA2020Trois années à l'école d'ingénieur à en filière électronique. Un ensemble de cours et projets qui porte sur: - L’électronique analogique -Traitement du signal -Traitement de l'image -Les systèmes embarqués
Certifications
- Deep learning specializationdeeplearning.ai2020