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Machine/Deep Learning enthousiast, Data scientist intern at Capegemini. Let's connect on Linkedin : https://www.linkedin.com/in/yassine-boukhari-006748217
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Ecole des Ponts & University Gustave Eiffel
Data Scientist
June 30, 2026 – Present
Deep_Learning_projects
March 7, 2022 – March 7, 2022
A repo that will contain any side project related to deep learning's craft (MLP, CNN, RNN, NLP...) fo concrete application
View ProjectBig_Data_Project_Forecasting_rent_prices
March 6, 2022 – March 15, 2022
End-to-end Machine Learning project for real estate
View ProjectNP_Hard_Four_Colors_MCMC
December 11, 2021 – December 11, 2021
NP_Hard_Four_Colors_MCMC — GitHub repository
View ProjectTraveling_Salesman_MCMC
December 11, 2021 – December 11, 2021
Traveling_Salesman_MCMC — GitHub repository
View ProjectMonte-Carlo-Markov-chains-using-Frank-s-Copulae-and-more
December 6, 2021 – December 6, 2021
Monte-Carlo-Markov-chains-using-Frank-s-Copulae-and-more — GitHub repository
View ProjectComparison-between-Stochastic-Differential-Equation-and-FED
December 6, 2021 – December 6, 2021
Comparison-between-Stochastic-Differential-Equation-and-FED — GitHub repository
View ProjectNotebook-High_Dimensional-statistics-Sparcity-and-Thresholds-
December 6, 2021 – February 9, 2022
Notebook-High_Dimensional-statistics-Sparcity-and-Thresholds- — GitHub repository
View ProjectMCMC-Implementation-in-Bayesian-inference
October 11, 2021 – October 11, 2021
This repository contains a project around the implementation of Monte Carlo's Methods for reducing the variance of a model and an expension of its use thanks to markov's chains (MCMC) in Bayesian inference for approximating a parameter
View ProjectImbalanced-data-with-Decisions-trees
June 21, 2021 – July 23, 2021
Implementation of various decision trees models on R to fight complication of imbalance
View ProjectHDDT-for-Decision-Tree-
June 21, 2021 – July 23, 2021
Implementation of Hellinger distance as segmentation criterion for decision tree (ML) on Python
View ProjectCultural Fit Analysis
The candidate's projects show a strong academic and research-oriented interest in advanced statistical and machine learning topics. The focus on personal projects indicates self-motivation and a drive for continuous learning. However, the lack of team-based or industry-specific projects makes it difficult to assess collaboration and practical application in a corporate environment. The current role is listed as 'Data Scientist' starting in 2026, which suggests this is a future role or an error in the data, making current professional experience unclear.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.