Vincent Chabridon

Data Scientist

https://talent.gravityer.com/vincent-chabridon

Research Engineer in Applied Probability & Statistics, Uncertainty Quantification and Machine Learning

EDF R&D

Key Strengths

Extensive experience with Python for data science and scientific computing, as evidenced by numerous personal projects.
Strong background in probabilistic modeling, uncertainty quantification, and statistical analysis, aligning well with Data Scientist roles.
Proficiency in Jupyter Notebook for reproducible research and analysis.
Experience with C++ and SWIG indicates ability to work with performance-critical code and integrate different language ecosystems.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on academic and research-oriented data science, particularly in areas like probabilistic modeling, uncertainty quantification, and sensitivity analysis. While these are valuable technical skills, the breadth of application and exposure to diverse industry problems or team collaboration scenarios is not evident from the project list. The single listed professional experience is current and has no start date, making it difficult to assess its relevance or impact. This narrow focus on academic/research projects might indicate a specific cultural fit for R&D or highly specialized data science teams, but less so for broader industry roles requiring diverse problem-solving and business acumen.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, indicating no completed test results.

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Assessing your cultural and operational fit

Projects

bayes-calibration-for-prognostics

January 15, 2025 – September 24, 2025

Linked to the paper "Fusion of heterogeneous data for robust degradation prognostics"

View Project

RiskMeasure

December 4, 2024 – November 28, 2025

RiskMeasure — GitHub repository

View Project

vchabri.github.io

May 14, 2024 – Present

Repo dedicated to my webpage

View Project

oticscream

March 19, 2024 – June 13, 2025

OpenTURNS implementation of the ICSCREAM methodology.

View Project

SA-for-clogging-code

August 29, 2023 – June 13, 2024

Codes used for the results in the paper: Sensitivity Analysis for a long-time clogging simulation code.

View Project

PhDSchool

August 14, 2023 – September 7, 2023

Repository for study materials for the Hiperwind summer PhD school

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thesis

May 23, 2023 – June 14, 2024

General repository of my PhD manuscript.

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copulogram

January 10, 2023 – August 20, 2024

Data visualization for multivariate datasets with a nonlinear dependence structure

View Project

OT_HSIC_Implementation

February 11, 2021 – June 7, 2021

OT_HSIC_Implementation — GitHub repository

View Project

openturns

August 14, 2015 – Present

Probabilistic modelling and uncertainty quantification library

View Project

Key Strengths

Extensive experience with Python for data science and scientific computing, as evidenced by numerous personal projects.
Strong background in probabilistic modeling, uncertainty quantification, and statistical analysis, aligning well with Data Scientist roles.
Proficiency in Jupyter Notebook for reproducible research and analysis.
Experience with C++ and SWIG indicates ability to work with performance-critical code and integrate different language ecosystems.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, indicating no completed test results.

Vincent Chabridon

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit