Freelancer profile translated to English.
Back to original languageAbout Nicolas
PhD-educated data scientist with expertise in advanced modeling, forecasting, and spatio-temporal data. I can also adapt to broader needs: framing data problems, data preparation and quality, classical modeling (regression, classification, time series), experimentation, light production deployment, and results communication. I work pragmatically, integrating with teams and respecting contextual constraints (data, deadlines, tools), with a focus on useful and evaluated deliverables.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Ecole PolytechniquePhD in Computer ScienceRESEARCHFebruary 2026 - February 2026Palaiseau, FranceForecasting solar resource from satellite imagery using deep learning
- Expertise in deep learning (autoencoders, transformers, diffusion models) for spatiotemporal data (sequences of satellite images)
- Background in model design, evaluation, and uncertainty handling
- Used to working on open-ended problems with real world data constraints
- OCTO TechnologyData Science R&D InternHEALTH AND WELLNESSApril 2022 - October 2022 (6 months)Paris, France“Improving the lives of epileptics equipped with vagus nerve stimulator (VNS) using Machine Learning”
- State of the art
- Study of physiological signals (ECG/EMG/EEG)
- Automatic detection of epileptic seizures using ECG signal with Python and ML
- Plotly/Streamlit/Data Vizualisation
- CNAMResearch AssistantRESEARCHFebruary 2021 - March 2021 (1 month)Paris, France“Graph Neural Networks for recommandation systems”, supervised by Nicolas Thome
- State of the art
- GNN social recommander system using PyTorch
- Scientific and technical report writing
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Education
- PhDInstitut Polytechnique de Paris2026PhD in Computer Science
- Research Master's degreeUniversity Paris-Saclay Institut Polytechnique de Paris2022Research Master's degree - Data science applied to geosciences (Master TRIED)