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AI and Machine Learning Consultancy
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ecole normale supérieure
PhD, Computational Neuroscience - Machine Learning
January 1, 2012 – January 1, 2016
Ecole normale supérieure
Master of Science (MSc), Cognitive Science
January 1, 2011 – January 1, 2012
CentraleSupélec
Master of Engineering (M.Eng.), Machine Learning and Robotics
January 1, 2008 – January 1, 2011
Goldsmiths, University of London
Visiting Lecturer
September 1, 2020 – June 1, 2021
Hybrid
Builder
Senior Machine Learning Scientist
December 1, 2019 – October 1, 2023
London, United Kingdom
Huawei Technologies
Machine Learning Research Scientist
January 1, 2018 – October 1, 2019
London, United Kingdom
Inria
Postodoctoral researcher in Machine Learning and Robotics
December 1, 2016 – November 1, 2017
École normale supérieure
Phd in Computational Neuroscience
January 1, 2012 – January 1, 2016
Région de Paris, France
École normale supérieure
Internship in Computational Neuroscience
April 1, 2011 – June 1, 2012
Région de Paris, France
Inria
Internship in Theoretical Neuroscience
July 1, 2010 – September 1, 2010
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and Machine Learning Scientist roles, with a strong emphasis on theoretical and algorithmic development. While 'Data Analyst' is a related field, the current experience might lean more towards data science and machine learning engineering rather than pure data analysis, which often involves more business intelligence, reporting, and stakeholder communication. The diversity of projects is limited to research and ML development, which might not fully align with the typical scope of a Data Analyst role in a business context. The candidate's experience level (13 years) is senior, but the direct alignment with a 'Data Analyst' target role, especially in a business-centric environment, needs further validation.
Soft Skills & Operational Fit
The candidate's experience as a Visiting Lecturer and Postdoctoral researcher, along with listed skills like 'Public Speaking' and 'Communication', suggest strong soft skills. Their background in research and problem-solving indicates an operational fit for roles requiring analytical rigor and independent work. However, the resume lacks specific details on collaboration within a team in an industry setting, which is crucial for operational fit in a Data Analyst role.