Initial trained in mathematics, I have orientated my career towards Applied Mathematics, by relying on my deep skills in mathematics, computer science, statistics, Programming and by attending a structured training in Ar…
Initial trained in mathematics, I have orientated my career towards Applied Mathematics, by relying on my deep skills in mathematics, computer science, statistics, Programming and by attending a structured training in Artificial intelligence & data science. I'm currently looking for a position in Mathematics.
Title : Applied Mathematics + Informatics
• Machine Learning, Neural networks « Courses, practical work, projects : Expert use of the Python libraries for data : TensorFlow, Scikit-learn, Keras, Pandas, numpy, … » (~272h)
Methods : KNN, Decision Trees, Linear Regression, Logistic Regression, SVM, ACP, KMeans, CNN, …
Project Leadership :
o Implementation of a Facial Recognition attendance sheet (time sheet), with arrival and departure times
o Leading the neural network part of a project aimed to programming a robot that detects the maximum speeds on the road
o Product classification, Personal Medical Cost Analysis, …
• Statistics, Programming, Numerical analysis, Differential equations, Optimization, ... (~800 h)
o Data cleaning, visualization and processing
o Video game programming
o Resolution of non-linear equations, …
o Multi-objective optimization methods
o Using data to guide decision making on establishment of Waste Storage Centers, integrating criteria such as cost, access, soil quality and hostility
• Projects and Supervision :
o Setting up a collection network for returnable bottles in the city
o Setting up stainless steel bodies for MEGA / EUROTOW, …
Mathematics: Statistics, Data Management, Probability, Coding and Algorithms
Impact of the heterogeneity of natural environments (fractured or porous) on the transport of inert solutes
Implementation of numerical models
C++
Linux
supercomputer
MPI
Theoretical and applied studies to understanding of water flow and solute transport in highly heterogeneous porous and fractured media
Contribution to 3D electromagnetic field modeling in high temperature superconductors
Develop a rapid Multiphysics model for the design and optimization of superconductor-based systems
Numerical model is developed for a rapid computation of eddy currents in multifilamentary high temperature superconductive (HTS) for the evaluation of AC losses
Explicit calculation of the homogenized coefficients for particle dynamics with a strong external magnetic field
Gyrokinetic approximation for the Vlasov-Poisson system in 3D
Applied Mathematics + Informatics
Machine Learning, Neural networks courses, practical work, projects
Expert use of the Python libraries for data: TensorFlow, Scikit-learn, Keras, Pandas, numpy
Methods: KNN, Decision Trees, Linear Regression, Logistic Regression, SVM, ACP, KMeans, CNN
Implementation of a Facial Recognition attendance sheet (time sheet), with arrival and departure times
Leading the neural network part of a project aimed to programming a robot that detects the maximum speeds on the road
Product classification
Personal Medical Cost Analysis
Statistics, Programming, Numerical analysis, Differential equations, Optimization
Data cleaning, visualization and processing
Video game programming
Resolution of non-linear equations
Multi-objective optimization methods
Using data to guide decision making on establishment of Waste Storage Centers, integrating criteria such as cost, access, soil quality and hostility
Setting up a collection network for returnable bottles in the city
Setting up stainless steel bodies for MEGA / EUROTOW
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