Eya Ben chaaben
Machine Learning Intern at CMA Mines Paris - PSL- Claim this Profile
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Experience
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Machine Learning Intern
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May 2022 - Oct 2022
develop an approximation model of the numerical simulator using techniques of machine learning. Such models are commonly called “Surrogate Models” and have the advantage to be computationally inexpensive. The objective of this internship is therefore to develop a model of substitution (Surrogate Model) of the digital simulator based on techniques automatic learning (Machine Learning, deep neural networks) develop an approximation model of the numerical simulator using techniques of machine learning. Such models are commonly called “Surrogate Models” and have the advantage to be computationally inexpensive. The objective of this internship is therefore to develop a model of substitution (Surrogate Model) of the digital simulator based on techniques automatic learning (Machine Learning, deep neural networks)
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Laevitas
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Singapore
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Information Technology & Services
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1 - 100 Employee
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Quantitative Researcher
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Jul 2021 - Aug 2021
The development of a python code that helps in the analysis of data from the cryptocurrency market in order to create a profitable and less risky portfolio by comparing itself with the Markowitz method. The development of a python code that helps in the analysis of data from the cryptocurrency market in order to create a profitable and less risky portfolio by comparing itself with the Markowitz method.
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Société Tunisienne de l'Electricité et du Gaz (STEG)
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Tunisia
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Oil and Gas
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1 - 100 Employee
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Workman internship
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Jul 2020 - Aug 2020
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Education
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Université Paris-Saclay
PhD, Machine learning and Human computer interaction -
Tunisia Polytechnic School
Diplôme d'ingénieure polytechnicienne, Économie et Gestion Scientifique -
IPEIN - Institut Préparatoire aux Études d'Ingénieur de Nabeul
rang 25/900