Ayyoub El Amrani
Co-Founder & CTO at Vital at Vital- Claim this Profile
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Français Native or bilingual proficiency
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Arabe Native or bilingual proficiency
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Anglais Full professional proficiency
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Allemand Elementary proficiency
Topline Score
Bio
Credentials
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Machine Learning course, Stanford University
-Feb, 2017- Oct, 2024
Experience
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Vital
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Food and Beverage Manufacturing
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Co-Founder & CTO at Vital
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Apr 2021 - Present
Better health together. Better health together.
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Scibids
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France
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Advertising Services
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1 - 100 Employee
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Data Scientist
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Feb 2020 - Jul 2021
Scibids provides AI solutions in the RTB market. As a Data Scientist at Scibids: -> I am building ML models to optimize marketing campaigns. -> Developing internal features for the sales and account managers teams. -> Taking care of the real-time running models. Scibids provides AI solutions in the RTB market. As a Data Scientist at Scibids: -> I am building ML models to optimize marketing campaigns. -> Developing internal features for the sales and account managers teams. -> Taking care of the real-time running models.
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Data Scientist intern
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Feb 2018 - Jul 2018
Optimization of portfolios. http://mieuxplacer.com. -Implementing and testing several neural networks algorithms on python for the prediction of mutual funds performance. -Classification and selection of mutual funds based on meticulous analysis. Optimization of portfolios. http://mieuxplacer.com. -Implementing and testing several neural networks algorithms on python for the prediction of mutual funds performance. -Classification and selection of mutual funds based on meticulous analysis.
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BNP Paribas
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Investment Banking
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1 - 100 Employee
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Quantitative Researcher- Algorithmic trader
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Aug 2017 - Jan 2018
-Working on Implied volatility time series data to find a new automated trading strategy. -Performed machine learning algorithms on data to predict the model and made a strategy based on it. -Working on Implied volatility time series data to find a new automated trading strategy. -Performed machine learning algorithms on data to predict the model and made a strategy based on it.
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CentraleSupélec
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France
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Higher Education
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700 & Above Employee
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Numerical parallel methods (in time) for the simulation of financial products
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Sep 2016 - Feb 2017
Research in massive parallelizing methods applied on financial options. We are trying to predict the value of options using Black&Scholes equation, with methods such as Parareal algorithm. Research in massive parallelizing methods applied on financial options. We are trying to predict the value of options using Black&Scholes equation, with methods such as Parareal algorithm.
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MUN EPFL
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International Affairs
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1 - 100 Employee
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Delegate in MUN
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Sep 2013 - Jun 2014
MUN, modal united nations is a simulation of the "united nations", we organise different debates about different motions. The rules are the same for all MUNs in the world. We train ourselves to debate in front of other delegates from other MUNs in the world wide meetings. MUN, modal united nations is a simulation of the "united nations", we organise different debates about different motions. The rules are the same for all MUNs in the world. We train ourselves to debate in front of other delegates from other MUNs in the world wide meetings.
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Education
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2018 - 2020
Ecole polytechnique fédérale de Lausanne
Master's degree, Data Science -
2015 - 2017
Ecole Centrale Paris
Master of Science (MSc), Double Degree Engineering program -
2012 - 2015
Ecole polytechnique fédérale de Lausanne
Bachelor of Science - BSc, Mathematics
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