About Vincent
Analytics Engineer with 10 years of experience spanning rigorous statistical research and hands-on data production work. PhD with a strong foundation in complex data analysis, Monte Carlo simulations, and uncertainty quantification (peer-reviewed publications).
Core expertise sits at the intersection of transformation layer engineering and business-facing analytics: designing Medallion architectures (Bronze/Silver/Gold), building dbt transformation pipelines, and turning raw multi-source datasets into reliable analytical outputs. Hands-on with the full data stack — orchestration (Airflown Nifi), processing (PySpark, SQL, Python), databases (PostgreSQL, PostGIS, Duckdb, Clickhouse ), and deployment (Docker, CI/CD).
Strong specialization in geospatial analytics (GeoPandas, QGIS, PostGIS, H3) and ML (XGBoost, scikit-learn, PyTorch), with applied experience on territorial and infrastructure datasets in international contexts.
Comfortable owning projects end-to-end — from data model design to production pipeline — and translating technical decisions into business-readable outputs for non-technical stakeholders.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- Mitsio MotuAnalytics engineerCONSULTING AND AUDITSMarch 2026 - May 2026 (2 months)Lomé, Togo- Conception et déploiement d'un POC de plateforme data souveraine (architecture Medallion, NiFi, MinIO, dbt, PostgreSQL, Apache Superset) dans le cadre d'un programme de digitalisation des administrations publiques.- Recrutement et constitution d'une équipe data pluridisciplinaire : rédaction des fiches de poste, conception des tests techniques (Data Engineer, Data Analyst, SIG, IA), évaluation des candidats.
- Mitsio MotuAnalytics engineerTECHApril 2025 - December 2025 (8 months)Lomé, Togo
- Geospatial Analytics: Territorial accessibility analyses, infrastructure location optimization, impact studies using QGIS and GeoPandas. Production of interactive dashboards (PowerBI/Grafana) supporting planning decisions.
- Analytics & Machine Learning: Development of spatial predictive models (XGBoost, scikit-learn) with uncertainty analysis and geographic feature engineering. Advanced exploratory analysis on complex territorial datasets.
- Data Engineering: Design and implementation of ETL pipelines (Airflow, PySpark). PostgreSQL/PostGIS database architecture optimized for complex spatial queries.
- Communication: Writing policy briefs and analytical reports for public institutions. Impactful geospatial visualizations for non-technical decision-makers.
- CEA Saclay, Seismic Mechanics Study LaboratoryResearch Engineer in Structural DynamicsRESEARCHDecember 2018 - August 2024 (5 years and 8 months)Gif-sur-Yvette, France
- Modeling & Statistical Analysis: Conducted multi-parameter sensitivity analyses (Sobol' method) on Monte Carlo simulations (>1 million runs). Developed predictive metamodels for structural behavior under complex loads.
- Data Processing: Processing and statistical analysis of experimental data (high-frequency measurement campaigns, time series). Anomaly detection and numerical model validation.
- R&D Project Management: Management of action plans with CEA partners. Contribution to national and European research projects. Test campaign coordination and team leadership.
- Scientific Communication: publications in peer-reviewed international journals. Conference presentations. Technical notes and study reports.
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Education
- PhD in Structural DynamicsCEA Saclay, Seismic Mechanics Study2019
- Master's Degree in Civil EngineeringÉcole Normale Supérieure de Cachan2014Master's Degree in Civil Engineering
Certifications
- Associate Data EngineerDatacamp2025