Help & Supportcareers@gravityer.com
Ingénieure de recherche CNRS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Université Nice Sophia Antipolis
Doctorat, Automatic, signal and image processing
January 1, 2009 – January 1, 2013
CY Cergy Paris Université
Master 2 (M2) Recherche, Systemes Intelligents et Communicants (SIC)
January 1, 2008 – January 1, 2009
Ecole nationale supérieure de l'Electronique et de ses Applications
Engineer's degree, Electrical and Electronics Engineering
January 1, 2006 – January 1, 2009
Lycée Carnot, Dijon (21)
classes préparatoires (CPGE) MPSI, MP, Mathématiques, physique, sciences de l'ingénieur
January 1, 2004 – January 1, 2006
CNRS
Ingénieure de recherche
December 1, 2025 – Present
Lyon, Auvergne-Rhône-Alpes, France · On-site
Université Claude Bernard Lyon 1
Chercheur postdoctoral
December 1, 2020 – December 1, 2025
Lyon, Auvergne-Rhône-Alpes, France
CNRS - Centre national de la recherche scientifique
Chercheur post-doctoral en neuro-imagerie
September 1, 2019 – November 1, 2020
Lyon
Université Claude Bernard Lyon 1
Ingénieur de recherche/post-doc
June 1, 2018 – June 1, 2019
Lyon
ContextVision AB
Machine Learning expert (Consultant)
January 1, 2016 – May 1, 2018
Greater Linköping Metropolitan Area
IUT Nice Côte d'Azur
ATER
September 1, 2014 – August 1, 2015
Greater Nice Metropolitan Area
IUT Nice Cote d'Azur
ATER
September 1, 2012 – August 1, 2013
Nice
INRIA
PhD student
November 1, 2009 – November 1, 2013
Sophia-Antipolis, France
University of Central Lancashire
Associate - Visitor Student
April 1, 2009 – August 1, 2009
R Programming
Johns Hopkins University
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
R programming
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with significant experience in public institutions (CNRS, Universities). While this demonstrates deep technical expertise, the transition to a corporate data analyst role might require adaptation to different work cultures, priorities, and faster-paced commercial environments. The project diversity is focused within biomedical imaging and research, which may limit exposure to broader business data analysis challenges. The target role 'Data Analyst' is broad, and the candidate's specific expertise is highly specialized in image data, which might not be a direct fit for all data analyst positions.
Soft Skills & Operational Fit
The candidate's experience in research and academic roles suggests strong analytical thinking, problem-solving, and independent work capabilities. The description of creating and animating an 'image analysis club' indicates potential for collaboration and knowledge sharing. However, direct evidence of operational fit within a corporate data analyst role, including project management methodologies or stakeholder communication in a business context, is not explicitly detailed.