
Youssef L.
Industrial Engineering Intern

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About me
Data Scientist |Quant
Education

Lycée Ibn Taymia
2015 - 2018Preparatory classes Maths ,Physics ,Engineering Sciences..2 year intensive undergraduate program preparing the competitive entrance examinations to Frensh and Moroccan best Engineering schools" Grandes Ecoles."

École des Ponts ParisTech
2021 - 2022Msc in Mathematics applied to Finance and Data (Ex DEA Lamberton)
École des Mines de Saint-Étienne
2018 - 2021Master of Science and Executive Engineering Major in Data Science and Computer Science.First Year:Majoring in Datascience and Artificial Intelligence.Relevant Coursework: ✔ Advanced Probabilities and Statistics. ✔ Statistical and Machine Learning ✔ Times Series ✔ Metamodeling,Sensitivity Analysis and Experimental Design.Second Year: Majoring in Computer ScienceRelevant Coursework:✔Bash Scripting✔Mobile and Web Developement✔Cloud Computing✔Internet of things✔Security,Trust and Privacy
Experience

OCP SA
Jul 2018 - Aug 2018Industrial Engineering InternDiscovering the operation of a factory : its structure, relationship between workers, work time and how this impact the company’s performance.• chemical study of the wasted phosphore.• Determination of the optimum quantity and flow to adjust by the supervisionstation.

MINES ParisTech
Jun 2020 - Sept 2020Research AssistantThe main idea of this internship is to become familiar with the elements of speculationmarket also called "trading" and understand the quantitative issues. Moreprecisely, it is about studying some classical algorithms of trading, implementing them andthen to analyze the behavior on available datasets (real data orartificial). The algorithms considered will be those based on the use of time series(trend, seasonality, …). We will also study the creation of predictive models byalgorithms based on Machine learning methods (linear regression for example) and“Deep learning” approaches.We could thus, through the bias of simulations, highlight the key elements of theproblematic of trading and provide some ideas for improving the efficiency ofexisting approaches. Show less

Hexcel Corporation
Oct 2020 - Mar 2021Data Scientist(Part time)-Clustering similar groups and predicting permeability based on different material properties (delta1 ,delta2, MIFS,Nb Fib ,TVF....)using Gaussian processes, Bagging methods and boosting methods .-Assesing features importance in that prediction(PDP box)-Evaluating and tuning the models (Rmse ,Rsquared,Gridsearch ,Random search ,Stratified Kfolds..)-making a taxonomy of generative models used in materials literature (Random placement ,Motion Dynamics ,Monte Carlo etc. )and in Machine learning literature (PixelRNN/CNN, VAEs ,GANs,Boltzmann machines...)-Generating carbone microstructure using DCGAN (Deep convolutional GAN) and VAEs (variational auto encoders). Show less

Goldman Sachs
Mar 2021 - Mar 2021Engineering (Virtual experience)Virtual internship to get a sense of what is to be an engineer at Goldman Sachs.

JPMorgan Chase & Co.
Mar 2021 - Mar 2021Software Engineer (Virtual Experience)Virtual Experience to get a sense of what is day to day life of a software engineer at JP Morgan.

TotalEnergies
Apr 2021 - Oct 2021Data Scientist- Effectuer un benchmark des algorithmes d'active Learning sur des données existantes - Implémenter les algorithmes retenus dans une librairie python et les intégrer dans un workflow permettant d'alimenter la plateforme robotisée (Optimisation bayésienne) - Développer une stratégie permettant d'intégrer des connaissances métier et données physico-chimiques - Mettre à disposition les outils développés via une interface simple (Dash+ plotly).

Natixis
Apr 2022 - Oct 2022XVA Quant
HSBC
Jan 2023 - nowEquity Derivatives Quant
Licenses & Certifications
- View certificate

Introduction to Machine leraning ,Trading and GCP
Google Cloud Platform CertifiedJul 2020 - View certificate

Reinforcement Learning for Trading Strategies
Google Cloud Platform CertifiedJul 2020 - View certificate

Using Machine Learning in Trading and Finance
Google Cloud Platform CertifiedJul 2020 - View certificate

IBM Data visualization with Python
IBMJun 2021 - View certificate

Spécialisation Machine Learning for Trading
New York Institute of FinanceJul 2020 - View certificate

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraApr 2020 - View certificate

Neural Networks and deep learning
CourseraApr 2020 - View certificate

Structuring Machine Learning Projects
CourseraApr 2020 
TOEFL IBT (92)
ETSSept 2018
TOEIC (950)
ETSJan 2020
Honors & Awards
- Awarded to Youssef L.IBM Badge IBM Jun 2021 Data visualization with Python
- Awarded to Youssef L.BCG Badge BCG Mar 2021 Badge on the completion of the Data science and advanced analytics virtual internship.
Volunteer Experience
Fundraising Volunteer and Donator
Issued by Amnesty International on Sept 2020
Associated with Youssef L.Organizational Staff
Issued by COP22 on Nov 2016
Associated with Youssef L.Co-organizer of 'Explore Mars' Conference
Issued by La Rotonde - Centre de Sciences on Feb 2021
Associated with Youssef L.
Languages
- enEnglish
- frFrensh
- arArabic
- spSpanish
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