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CentraleSupéléc
Data Scientist
June 27, 2026 – Present
covariance-cleaning-nn
November 2, 2025 – Present
covariance-cleaning-nn — GitHub repository
View Projectnumerical-method-in-finance
April 12, 2025 – April 26, 2025
PDE solving, greek calculation this repo implement many numerical method applied for finance
View ProjectPortfolio-efficient-frontier-Lab3
March 16, 2025 – March 16, 2025
Implementing Portfolio Optimization and plotting Efficient frontier using Python
View Projectportfolio-optimization
March 15, 2025 – March 16, 2025
Mean-Variance Optimization based on Markowitz’s Modern Portfolio Theory (MPT)
View ProjectProbleme-parcours-arbres-abeilles
January 30, 2025 – February 14, 2025
Un TP d'algo dans le cadre de centrale supélec
View Projectintroduction-mathematiques-reseaux-neurones-et-codage
October 27, 2024 – March 16, 2025
Compréhension des réseaux de neurones (RN) en explorant leurs concepts mathématiques et leur implémentation en Python.
View Projectjotickets
October 25, 2024 – October 25, 2024
Un TP fait dans le cadre d'un cours de SIP de CS
View Projecthorse_mouvement_recognition
October 23, 2024 – November 4, 2024
Horse mouvement recognition project through a neural network
View ProjectCultural Fit Analysis
The candidate's projects show a strong academic and personal interest in data science, machine learning, and quantitative finance. The diversity of projects, from neural networks to portfolio optimization, indicates a broad curiosity within the data science domain. However, the lack of team-based projects or detailed descriptions of contributions makes it difficult to assess cultural fit beyond technical alignment. The listed experience as 'Data Scientist' at 'CentraleSupéléc' with a future start date and 'isCurrent: true' is unusual and suggests this might be an academic or research role, or an error in data entry, making it hard to gauge professional cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed experience is a future role, suggesting a lack of professional work history. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.