Ingénieur logiciel
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sup Galilée
Engineer's degree
September 1, 2014 – September 1, 2017
Université Paris 13
Licentiate degree, Mathematics
January 1, 2013 – January 1, 2014
Hexagon Manufacturing Intelligence
Ingénieur logiciel
August 1, 2023 – Present
Ville de Paris, Île-de-France, France · Hybrid
AVSimulation
Ingenieur études et developpement c++
October 1, 2018 – December 1, 2023
1 cours ile de segun 92100
Black Tiger
Ingenieur recherche et developpement
October 1, 2017 – October 1, 2018
Paris Area, France
EDF
Elaboration d'un modèle de machine learning pour la prediction de series temporelles
April 1, 2017 – September 1, 2017
France
CEA
Évaluation d’une nouvelle méthode numérique dans le logiciel CATHARE3
June 1, 2016 – September 1, 2016
France
Cultural Fit Analysis
The candidate has a diverse background in software engineering, research and development, and internships across different industries (manufacturing, simulation, data processing, energy, research). While this demonstrates adaptability, the primary experience is heavily skewed towards C++ software development, which is not a direct fit for a Data Analyst role. The Machine Learning and Deep Learning experience is relevant but constitutes a smaller portion of their overall professional history. The lack of explicit data analysis projects or roles focused on business insights, reporting, or dashboarding suggests a potential mismatch with a typical Data Analyst cultural fit.
Soft Skills & Operational Fit
The candidate's experience as a SCRUM master suggests strong organizational, leadership, and team collaboration skills. Their involvement in client needs analysis indicates good communication and problem-solving abilities. However, the target role is 'Data Analyst', which requires a strong focus on data interpretation, visualization, and business intelligence, areas not explicitly detailed in the provided experience descriptions.