About Me
I’m an independent data consultant with a PhD in data science. I design and deploy production data and machine learning systems for energy organizations, combining hands-on technical work with experience leading data teams.
My background spans academic research, applied R&D and industry. I combine scientific rigor with hands-on engineering, taking systems from prototype to production.
Experience
Experience & Projects
A progression from academic research to applied R&D and industrial systems.
Research
Forecast Evaluation Metrics - Scientific Paper
Mines Paris - PSL
View case studyScientific framework for evaluating solar forecasts beyond average error metrics, using Temporal Distortion Mix and a ramp metric to assess timing errors and rapid irradiance variations.
3D Cloud Geometry Simulator
Mines Paris - PSL
View case studyControlled simulator of 3D cloud scenes, generating synthetic satellite and ground-camera views to validate voxel-based reconstruction, cloud localization, and shadow prediction for solar forecasting.
Synergy of Ground and Satellite Data for Solar Forecasting
Mines Paris - PSL
View case studyFusion of hemispheric sky-camera and geostationary satellite data to reconstruct clouds in 3D, estimate their shadows on the ground, and improve very-short-term solar irradiance forecasting.
Applied R&D
Steam Generator Clogging Assessment from Eddy-Current Signals
EDF · Paris
View case studyProcessing and deconvolution of SAX eddy-current signals to help engineers assess steam-generator support-plate clogging during periodic inspections.
Automated Analysis of Steam Generator Inspection Signals
EDF
View case studyDevelopment and industrialization of engineer-facing software combining signal alignment, DTW, and statistical anomaly detection to prioritize atypical steam-generator inspection signals for expert review.
Bird Behavior Analysis Around Wind Turbines
EDF
View case studyAt the intersection of biodiversity and wind energy, this project analyzes bird behavior around turbines using camera detections and 3D radar trajectories. It examines flight movements, responses to acoustic deterrence, and links with weather and turbine operation.
Regional Solar Power Forecasting with Deep Learning
EDF · Paris
View case studySpatiotemporal forecasting of regional photovoltaic production from Meteosat image sequences using a ConvLSTM model trained and evaluated against measured production and a persistence baseline.
Industry
Site-Level Solar & Load Forecasting Platform
PowerFlex
View case studyEnd-to-end production platform using machine learning for site-specific solar-generation and facility-load forecasts, refreshed every 15 minutes over a three-day horizon and integrated with downstream energy-management workflows.
Data Engineering & Analytics Modernization
PowerFlex
View case studyEnd-to-end development and modernization of a data platform spanning production ingestion, analytics engineering, quality controls, and reporting for operational, business, and customer-facing use cases.
EVSE Uptime & Reliability Analytics
PowerFlex
View case studyReliability analytics for 70,000+ managed EV chargers, reconstructing consistent per-port uptime from operational state, connectivity, asset history, and downtime exclusions for operational and customer-facing reporting.
Let's Work Together
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