Freelancer profile translated to English.
Back to original languageAbout Bertrand
Engineer in artificial intelligence and data science, I leverage advanced expertise in applied mathematics and web development to support companies in the strategic exploitation of their data.
My ability to quickly analyze problems, structure robust solutions, and explain complex concepts allows me to transform your business challenges into concrete results.
What I offer:
- Design and deployment of high-performance AI models (machine learning, deep learning, MLOps)
- Analysis, visualization, and interpretation of massive data
- Automation of business processes and creation of intelligent APIs
- Distributed processing on the cloud (AWS, Azure, computing clusters)
- Model lifecycle management (MLflow, Git/GitHub versioning)
- Industrialization and integration of AI solutions into your applications
My added value:
- Analytical and pedagogical approach for tailor-made solutions
- Cutting-edge expertise in mathematics and data science
- Concrete experience on various projects, from prototyping to production
Do you want to transform your data into performance drivers? Let's discuss your needs and the solutions adapted to your business.
French
Native or bilingual
English
Fluent
Spanish
Fluent
Can work on-site
Lyon (up to 50km)
Experience
- OpenClassroomsData Science Expert (AI Engineer)May 2024 - May 2025 (1 year)Lyon, France
Data Science / AI Engineer Expert (RNCP level 7)
Skills:1. Advanced Data Analysis- Skill: Cleaning, exploration, visualization, and interpretation of massive data
- Project: Predictive Sales Analysis
- Tools: Python, Pandas, Matplotlib, Scikit-learn
2. Development, Optimization, and Monitoring of AI Models- Skill: Creation, training, optimization, and lifecycle management of machine learning and deep learning models
- Project: Banking Fraud Detection
- Tools: TensorFlow, PyTorch, Azure ML, MLflow
3. Mathematical Expertise Applied to AI- Skill: Modeling, statistics, probabilities, optimization
- Project: Customer Segmentation by Clustering
- Tools: Scikit-learn
4. Distributed Computing and Cloud Computing- Skill: Processing large-scale data on clusters, using cloud services (AWS, S3)
- Project: Distributed processing of customer data on AWS cluster
- Tools: AWS EC2, S3, Spark, Hadoop
5. Integration of AI Solutions into Business Applications- Skill: API deployment, process automation, model industrialization
- Project: Product Recommendation API
- Tools: FastAPI, Streamlit, Azure, Docker
6. Data Governance, Security, and Ethics- Skill: Implementation of best practices, GDPR compliance, access management
- Project: User consent management system
- Tools: Azure
7. AI Project Management and Collaboration- Skill: Teamwork, documentation, technical communication, code version management
- Project: Collaborative data analysis platform
- Tools: Git, GitHub, Azure DevOps, Teams
8. Time Series Analysis and Modeling- Skill: Mastery of classical statistical methods (SARIMA) and neural models (N-Beats) for time series forecasting.
- Project: Comparison of model performance
- Tools: Statsmodels, Darts
- Éducation nationaleComputer Science Professor (Web Development)EDUCATION AND E-LEARNINGSeptember 2020 - Today (5 years and 11 months)Lyon, FranceTeaching Computer Science in BTS (Web Development)**Learning various programming languages**:
- Python
- JavaScript (React)
- SQL (Oracle, MySQL)
- PHP (Laravel)
**Meeting business needs**:- analyzing needs,
- developing web applications.
Modeling Data:- developing a database,
- modifying, querying a database.
Working in Agile mode - Éducation nationaleMathematics/Statistics ProfessorEDUCATION AND E-LEARNINGSeptember 2000 - May 2026 (25 years and 8 months)Lyon, FranceTeaching Mathematics/Statistics in BTS, CPGE preparatory classes, Centrale Lyon, IUT (Business and Administration Management)**Analyzing Data**:
- modeling, structuring, and representing statistical data,
- analyzing discrete (multivariate) and continuous random variables,
- understanding and analyzing time series.
- understanding business issues,
- simplifying complex concepts,
- explaining mathematical concepts.
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Education
- Agrégation de MathématiquesNational Education2011
- Licence en MathématiquesUniversité Claude Bernard,1999Licence en Mathématiques
Certifications
- Data Scientist (Expert in Data Science) RNCP level 7OpenClassroom2025