Machine learning Engineer / Data Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Pierre and Marie Curie University
Master's degree, Data Science
January 1, 2014 – January 1, 2016
Université Mouloud Mammeri Tizi-Ouzou
Bachelor's degree, Computer Science
January 1, 2011 – January 1, 2014
Stime DSI Groupement Les Mousquetaires
Ingénieur de données
February 1, 2022 – Present
Châtillon, Île-de-France, France · Hybrid
Dats'up
Ingénieur de données
March 1, 2020 – Present
Ville de Paris, Île-de-France, France · Hybrid
Incalia
Machine learning Engineer
September 1, 2018 – September 1, 2019
Région de Paris, France
QUICKSIGN
Ingénieur R&D Deep learning
October 1, 2016 – August 1, 2018
Paris 2ᵉ arrondissement
QUICKSIGN
R&D Deep learning Intern
March 1, 2016 – August 1, 2016
Neuilly-sur-Seine
Cultural Fit Analysis
The candidate has a diverse background across several companies (Stime DSI, Dats'up, Incalia, QUICKSIGN) in roles like Data Engineer and Machine Learning Engineer. This breadth of experience suggests adaptability. The target role is 'Data Analyst', which aligns well with the candidate's data-centric experience, particularly in data engineering and processing. The transition from R&D/ML to Data Analyst indicates a potential interest in applying analytical skills to business problems. However, the lack of specific project details makes it difficult to fully assess cultural fit beyond role alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.