Armand Coiffe
Data ScientistContact: armandcoiffe@gmail.com
CentraleSupéléc
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Contact: armandcoiffe@gmail.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.