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My CV

Education

École des Mines de Paris (Mines ParisTech) – Paris, 5th arrondissement

Civil Engineer – Sept. 2020 – Mar. 2022

  • Specialization in Geostatistics and Applied Probabilities.

École supérieure de physique et chimie industrielles de Paris (ESPCI Paris) – Paris, 5th arrondissement

Engineering – Physics Track – Sept. 2017 – Sept. 2020

  • Multidisciplinary scientific foundation: mathematics, physics, chemistry, and biology.
  • Major in Biophysics.

Lycée Hoche – Versailles

Preparatory Classes for Engineering Schools – Physics & Chemistry Track – Sept. 2015 – Aug. 2017

  • Multidisciplinary scientific training: mathematics, physics, and chemistry.
  • Preparation for competitive engineering school entrance exams.

Experience

Artelys – Paris

Consultant – Data Science – May 2023 – Present

  • Developed and maintained operational solutions (dashboards, APIs, web applications) supporting data science models, using Python, R, FastAPI, and Plotly.
  • Applied machine learning and statistical techniques in the energy sector: time series forecasting, clustering, and climate-adjusted modeling for energy demand and production.
  • Designed and deployed microservices and applications using Docker, CI/CD pipelines (GitHub Actions, GitLab CI), and AWS S3 or PostgreSQL for data storage and access.
  • Implemented workflow orchestration through API-driven coordination and SLURM job scheduling on HPC clusters; integrated RabbitMQ for asynchronous task handling.
  • Delivered hands-on R training sessions, from programming fundamentals to deploying dashboards for electricity consumption and production data analysis.

Réseau Transport d'Électricité (RTE) – Paris, La Défense

Energy Market Modeling Engineer – Mar. 2022 – Mar. 2023

  • Modeled investment decisions and strategic behaviors of market participants in electricity and capacity markets, contributing to long-term market scenario planning.
  • Developed a modular simulation tool in R to model investment strategies, integrated as an extension of the Antares Simulator for European power system analysis.

Intern – Network Modeling Engineer – Sept. 2021 – Mar. 2022

  • Performed prospective techno-economic studies assessing the value of stationary storage (batteries) for congestion management in the 2050 power grid.
  • Modeled and evaluated regional grid investment scenarios incorporating storage technologies.
  • Developed and maintained a Python-based heuristic model to simulate network investments and battery operation under future grid conditions.

International Energy Agency (IEA) – Paris, 15th arrondissement

Intern – Modeling Engineer – Mar. 2021 – Sept. 2021

  • Built a Python model using deep learning (MLPs) to disaggregate national electricity demand by end-use sector across multiple countries.
  • Conducted quantitative energy economics analysis and contributed to the World Energy Outlook 2021, particularly within the demand-side modeling chapter.

Languages & IT Skills

Programming

  • Python, R (expert level, package development, modeling, data science, visualization, optimization, deep learning, APIs)
  • SQL

Software & Tools

  • Docker (Containerization and microservices development)
  • PostgreSQL (database)
  • Slurm (HPC workload manager)
  • RabbitMQ (message broker)

Languages

  • English (Fluent)
  • Spanish (Fluent)