Technical Expertise & Innovation
Technical skill levels are evaluated based on practical experience and complexity of completed projects:
5+ years of experience, advanced research projects, innovation and community contribution
2-5 years of experience, complex professional projects, deep mastery
1-2 years of experience, academic/personal projects, good understanding
Less than 1 year, recent learning, basic knowledge
Main language for ML and DL, data science and web development
Code optimization and climate simulation
Object-oriented development and enterprise applications
Statistical analysis and data science
Legacy code and scientific simulations
Deep learning and neural networks
Deep learning research and prototyping
Classical machine learning and preprocessing
Gradient boosting for time series and prediction
Interactive development and prototyping
Data manipulation and analysis
Numerical computing and linear algebra
Static data visualization
Statistical visualization
Interactive visualizations
Relational database
NoSQL for big data and IoT
Containerization and deployment
Version control and collaboration
Classification, regression, optimization
Time analysis techniques, trend and seasonality detection
Energy consumption and production prediction in business context
Distribution keys, community optimization
Production vs consumption, smart grids
Mother tongue
Professional and academic
Conversational
Data collection via smart meters with Raspberry Pi and Cassandra
Research on electrical data disaggregation (abandoned due to funding issues)
Cassandra database for the Voisins d'Γnergie project
Conversion of a Fortran climate model to Python and C++ (procedural and object-oriented)
Smart waste bins with automatic waste classification using AI