Freelancer profile translated to English.
Back to original languageAbout Jean-Baptiste
💡 Data Scientist & Python Developer
I use data and AI for projects related to the environment and ecological transition.
I help companies and organizations leverage their data, from exploration to production. I design complete solutions — models, APIs, applications — ready to use to meet operational needs.
🌱 Expertise & Commitment
10 years of experience: 6 years as a Data Scientist at the United Nations, then Lead Data Scientist at Ombrea (agrivoltaics).
I design and deploy predictive models and decision support systems with a strong operational impact.
📊 Key Skills
Agriculture & Renewable Energies
- Photovoltaic yield: pvlib, PVsyst, tracker control
- Agronomic modeling: STICS, DSSAT, FSPMs
- AgriPV systems prospecting and optimization
Data Science & Machine Learning:
- Deep learning (TensorFlow/PyTorch)
- Spatio-temporal data pipelines (Xarray/Dask, NetCDF/Zarr)
- Data engineering (ETL, orchestration)
- Interactive visualization (dash/Plotly)
Artificial Intelligence & Generative AI
- LLM integration via API (chatbots, assistants, automation)
- RAG: leveraging documentary databases (PDFs, reports, business data)
- Hybrid data + AI systems (ML + LLMs)
- AI system orchestration and evaluation (performance, costs)
Geospatial & Climate:
- Satellite imagery (Sentinel/MODIS, Google Earth Engine)
- GIS & mapping: QGIS, Leaflet, Mapbox
- Climate models (CMIP6, ERA5) & field data
Development & Deployment:
- APIs and web apps (Python, FastAPI, Flask)
- DevOps & cloud (Docker, TerraForm/Ansible, AWS)
English
Fluent
Spanish
Fluent
Italian
Fluent
French
Native or bilingual
Can work on-site
Marseille (up to 20km), Aix-en-Provence (up to 10km), Montpellier (up to 10km), Lyon (up to 10km), Paris (up to 10km)
Experience
- OmbreaLead Data ScientistENERGY AND UTILITIESMarch 2022 - Today (4 years and 5 months)Development of simulation and optimization software for agrivoltaic (AgriPV) power plants:- Control and management of dynamic AgriPV structures- Modeling and monitoring of crop growth (STICS model)- Simulation and optimization of photovoltaic energy production (pvlib and pvsyst)
- SyrocoMachine Learning EngineerSOFTWARE PUBLISHINGJune 2025 - October 2025 (4 months)Marseille, FranceDevelopment of hybrid AI models (physics + data) with TensorFlow/Keras, applied to weather time series and navigation sensor data. Design of processing pipelines (cleaning, interpolation, anomaly detection) and model optimization for operational applications.
- World Food Programme - Nations UniesData ScientistPUBLIC SECTORJuly 2015 - September 2020 (5 years and 2 months)Rome, Italy- Developed a Web app to manage and map food distribution figures- Developed a machine learning model to predict food insecurity at high resolution from satellite imageries and other spatial covariates- Led the analysis of mobile phone data (CDRs) to track and predict population displacements- Set-up remote food security monitoring tools in Africa and Asia
Reviews
Olivier
Syroco
Reviewed on 6/17/2025
Jean-Baptiste contributed to our digital twin development project with a strong focus on time-series data preparation, maritime feature engineering, and machine learning model validation. He quickly integrated with the team, delivered clean and reusable components, and demonstrated both autonomy and reliability throughout the mission. His ability to work across data, domain logic, and production constraints made him a valuable asset to the project. We highly recommend him for any data science role involving complex, domain-specific pipelines.
F
Franck
Self Impact
Reviewed on 1/26/2021
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Education
- MSc in Environmental EngineeringKTH - Royal Institute of Technology (Sweden)2015
- Ingénieur des Ponts et ChausséesÉcole Nationale des Ponts et Chaussées2014