Mike Fournigault
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
Lead Data Scientist at Fujitsu Belgium | PhD in computer vision
Lead Data Scientist with 17 years of experience in designing, developing, and leading AI projects.Versatile background across computer vision, structured data, NLP, and time series, combining hands-on expertise with a pragmatic approach. My role has consistently been hybrid: model design and development, industrialization, as well as technical leadership, strategic scoping, and team mentoring.I thrive in environments where AI delivers concrete value, particularly in industry, defense, transportation, and financial services.
Aix-Marseille University
Research Doctorate, Mathematics and Computer Science
January 1, 2003 – January 1, 2007
ENMSE & Université de Jean Monet
DEA (master of research), Image sciences
January 1, 2001 – January 1, 2002
Université Jean Monnet Saint-Etienne
Master's degree, Computer vision
January 1, 2000 – January 1, 2001
Fujitsu
Lead Data Scientist
January 1, 2019 – Present
Brussels Region, Belgium · Hybrid
Sopra Steria
Lead Data Scientist
June 1, 2018 – December 1, 2018
Sopra Steria
Senior Data Scientist
March 1, 2007 – May 1, 2018
ISEN
PHD Researcher
September 1, 2003 – September 1, 2006
Toulon
Alpsitec
Computer vision engineer
March 1, 2003 – July 1, 2003
Echirolles
LIGIM
Research internship in image synthesis
March 1, 2002 – August 1, 2002
Région de Villeurbanne, France
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Building Deep Learning Applications with Keras 2.0
June 24, 2026 – Present
Learning Julia
June 24, 2026 – Present
Building and Deploying Deep Learning Applications with TensorFlow
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience across various industries (defense, aeronautics, industrial, public sector, logistics, insurance) and diverse project types (computer vision for safety, AI for logistics, virtual assistants, sonar/radar systems) suggests adaptability and a broad perspective. The target role of 'Data Analyst' might be a step down from their 'Lead Data Scientist' experience, potentially indicating a mismatch in ambition or a desire for a different type of challenge. However, their background in data analysis and interpretation is strong.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentoring, and technical scoping abilities, indicating a good fit for roles requiring both technical depth and team influence. Experience in pre-sales and creating AI offerings suggests strong communication and business acumen. The long tenure at Sopra Steria and Fujitsu indicates stability and commitment.