Francois Noyez
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist / Software Engineer | Co-Founder @DataScoot
I consider myself to be mostly a problem solver: whether it's people desiring to fix an issue with an existing system, or people desiring to tackle a specific operational problem in a smart and automated way, I'll discuss with them in order to understand their need; then I'll see what is possible to achieve, using tools and technics from the domain of artificial intelligence in general, and machine learning in particular; and then I'll set up or create an adequate solution (or make an appropriate recommendation). In that case I'll take a look at which service or tool might already exist and do the trick. But I'll also gladly get my hands dirty with the programming and the manipulation of the database if it appears that doing so is adequate. I like to pay attention to details, which allows me to get a deep enough understanding of the systems that I'm working on so as to be able to solve existing issues with them to to suggest useful improvements; and in general, to be a dependable person.
University of Lille 1 Sciences and Technology
Master 2 Mathématiques Appliquées, Mathématiques appliquées
January 1, 2013 – January 1, 2014
Centrale Lille
Engineer Degree of Ecole Centrale de Lille, Decision and Data Analysis
January 1, 2011 – January 1, 2014
Classes Prépa du Lycée Jean Bart, Dunkerque, Nord
Classes préparatoire MPSI-MP, Physique théorique et mathématiques
January 1, 2009 – January 1, 2011
Lycée Jean Bart, Dunkerque, Nord
Baccalauréat S Spécialité Maths Section européenne anglais, Scientifique
January 1, 2006 – January 1, 2009
DataScoot
Co-Fondateur
January 1, 2026 – Present
QIMA
Data Scientist
February 1, 2019 – January 1, 2026
Lille Area, France
Inria
Engineer for Technology Transfert in Machine Learning
April 1, 2015 – February 1, 2019
Région de Lille, France
Sopra Steria
Engineer in Business Intelligence
February 1, 2015 – March 1, 2015
Région de Lille, France
Draka Prysmian
R&D engineer intern - Last internship before graduation from engineer school
April 1, 2014 – September 1, 2014
Eindhoven, The Netherlands
Draka Prysmian
R&D engineer intern
May 1, 2013 – August 1, 2013
Nord - Pas-De-Calais, France
Rézoléo - Résidence Léonard de Vinci
Network Administrator & Treasurer
November 1, 2012 – October 1, 2013
Villeneuve d'Ascq
ArcelorMittal
Worker in a blast furnace
July 1, 2012 – August 1, 2012
Dunkerque
Laboratoire Pharmaceutique RODAEL
Assisting engineer intern for conception/quality
January 1, 2012 – February 1, 2012
Bierne
Ecole Centrale de Lille
Chief of Projet Mars Zéro-G
November 1, 2011 – December 1, 2013
Engineering school Ecole Centrale de Lille
ArcelorMittal
Worker in a blast furnace
July 1, 2010 – July 1, 2010
Dunkerque
Mars Zéro-G
October 1, 2011 – December 1, 2013
Student project in partnership with the Association Planète Mars, the engineering school Ecole Centrale de Lille, NOVESPACE and the CNES. The project consisted in conceiving, fabricating and testing in simulated zero gravity a spaceship model so as to demonstrate the viability of the concept of artificial gravity generation aboard such a spaceship. The model was successfully launched and tested during the parabolic flight campaign organized by the CNES from the 1st to the 10th of octobre 2013. Internet site (in French): http://www.marszerog.fr/
Cultural Fit Analysis
The candidate's diverse project experience, ranging from academic research to startup co-founding and corporate data science, indicates adaptability. The long tenure at QIMA and Inria suggests stability and commitment. However, the target role of 'Data Analyst' might be a step down from their 'Data Scientist' and 'Co-Founder' roles, potentially leading to a mismatch in expectations or underutilization of advanced skills. The 'Mars Zéro-G' project shows a passion for complex, long-term endeavors.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through various data-related projects, including optimizing resource allocation and developing custom libraries. Experience in leading projects and onboarding junior employees suggests leadership and collaboration potential. The co-founder experience indicates an entrepreneurial mindset and initiative.