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ENSAE | M2MO
Data Scientist
June 30, 2026 – Present
Advanced-ML-Project
November 28, 2024 – January 18, 2025
ML Academic Project applied to the Kaggle Challenge : Jane Street Real-Time Market Data Forecasting 2024
View ProjectML_for_finance
November 28, 2024 – December 20, 2024
Analyze whether gold price contains information on central banks' future decisions
View ProjectOption-Pricing
December 12, 2023 – January 13, 2024
Monte Carlo Option Pricing Project @ENSAE
View ProjectStatapp
November 21, 2023 – March 18, 2025
Academic Applied Statistics Project : The Effect of Crypto-Asset Price on User Behaviors in Decentralized Lending Protocols
View ProjectShared-vocabularies-in-multi-agent-systems
March 30, 2023 – March 30, 2023
A basic Naming Game implementation in python
View ProjectMousqueton
December 2, 2022 – December 2, 2022
Visualisation de données sur la blockchain etherum.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards quantitative analysis and data science, which aligns with a Data Scientist role. The diversity of projects, including those in finance and blockchain, indicates a broad intellectual curiosity. However, the lack of team-based projects or professional experience beyond a current role with no end date makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists technical projects without details on collaboration or problem-solving approaches.