Freelancer profile translated to English.

Description

Lead Data Scientist and R&D Director at Predictim Globe, I support industrial and technological companies in designing innovative decision-making solutions based on artificial intelligence, simulation, and mathematical optimization.

My approach combinespredictive analytics**, **prescriptive modeling**, and advanced **simulation(AnyLogic, Python, CPLEX, Gurobi, etc.) to help my clients anticipate risks, optimize their operations, and accelerate their **digital transformation**.

I work on projects such as predictive maintenance, corrosion modeling, **logistics optimization**, and intelligent industrial planning.

Predictim Globe also supports companies in their digital transformation through training and upskilling programs for their internal teams, ensuring sustainable and effective adoption of AI and optimization technologies.

Thanks to dual expertise in scientific research and industrial support, I connect academic rigor with operational performance.

I design robust, interpretable, and sustainable models, while ensuring knowledge transfer to collaborators to strengthen their technical and analytical autonomy.

Predictim Globeis aCIIandCIRapproved company, recognized for its Research & Development and Innovation activities.

Areas of expertise:

Machine Learning • Industrial Simulation • Mathematical Optimization • Data Science • Predictive Maintenance • Physical and Decision Modeling • Digital Transformation • Training and Skills Transfer

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Predictim Globe
Director
SOFTWARE PUBLISHING
May 2021 - Today (5 years and 1 month)
Villeneuve-d'Ascq, France
Direction of R&D strategy in prescriptive analytics, applied artificial intelligence, decision optimization, and advanced predictive maintenance.
Design and management of predictive engineering projects for logistics, transport, asset management, and industrial corrosion.

Major projects completed:

Corrosion Detection & Risk Analytics: Development of a multimodal AI platform for proactive corrosion risk assessment and failure prediction, enabling anticipation of breakdowns and optimization of maintenance cycles.

SOCORRO-Interreg: Design of corrosion risk assessment tools for industrial facilities, offering companies an independent analysis solution.

Corrosion modeling applied to the oil & gas and marine sectors: Integration of predictive models to anticipate equipment degradation (tanks, engines, pipelines), with optimized maintenance planning.

Other responsibilities:

Supervision of multidisciplinary teams (data scientists, engineers, researchers) on the industrialization of AI models.

Mentoring, skills transfer, and specialized training in corrosion modeling, machine learning, and optimization.

Collaboration with industrial clients to transform corrosion prototypes into robust operational solutions.
Machine learning Mathematical Optimization Industrial Simulation predictive maintenance Corrosion Modeling
ITBA
Director
CONSULTING AND AUDITS
May 2021 - Today (5 years and 1 month)
Southampton, United Kingdom
Support for public and private clients in the design and implementation of advanced analytical and decision-making solutions, at the intersection of data science, operations research, and applied artificial intelligence.

– Audit, structuring, and valorization of business data;
– Development of predictive and prescriptive models;
– Optimization of industrial flows, resources, and processes;
– Design of intelligent dashboards and automation of decision-making.

Management and supervision of applied R&D projects, from the modeling phase to industrial validation, integrating hybrid approaches:
Machine Learning, combinatorial optimization, industrial simulation (AnyLogic), and complex scenario analysis.

Technical expertise: Python, CPLEX, Gurobi, PyTorch, TensorFlow, SQL, Power BI.
Mentoring, training, and skills transfer to internal teams to strengthen their autonomy and analytical culture.
Machine learning Mathematical Optimization Industrial Simulation Data visualization Python
Université de Lille / IESEG / EDHEC/EPSI
Teacher-Researcher/Lecturer
EDUCATION AND E-LEARNING
September 2019 - Today (6 years and 9 months)
Lille, France
Creation and transformation of modules in data science, optimization, Python programming, project management, and artificial intelligence.
Design of innovative programs integrating active learning, case studies, and interdisciplinary projects.
Supervision of students, master's theses, and doctoral theses (transport, energy optimization, urban mobility).

Recent modules:

Advanced Econometrics, Data Science for Business, Project Management, Algorithmic Thinking.
Python bi-strategy Econometrics Project Management predictive maintenance