Experience

SUEZ Smart Solutions Limited (New Zealand)

• New Zealand
• Software Development
• 1 - 100 Employee

• Product Owner & Data/ Optimization scientist

  • May 2020 - Present

  1 - Product Owner of the Aquadvanced Water Networks, Production & Transport plateform , which is a product aiming to optimize energy costs according to energy markets conditions, and monitor operations in water distribution systems. 2 - Data and Optimization scientist- Conception and implementation of mathematical models in the field of energy , waste and water sustainable management and their Integration in commercial products

• Business Optimization and Data Science

  • Jun 2019 - May 2020

  - Conception, implementation and maintenance of mathematical models (optimization, prediction, scoring, clustering) for sustainable ressources use (energy, water, waste) and optimal asset management.

• Research Engineer - Energy markets modeling and potfolio optimization

  • Mar 2016 - Jun 2019

  • Analysis of French/European energy markets policies and prices and their impact on Suez french system's operation (energy costs, Demand Response revenus, operationnal management)• Conception of mathematical models for the decision-making on long-term markets (capacity market, quick and complementary reserve) and short-term markets (spot power market, balacing market), and coverage of economic and operational associated risks for water distribution systems.



EDF

• France
• Electric Power Generation
• 700 & Above Employee

• Intern at OSIRIS (Optimization, SImulation, RIsks and Statistics for energy markets):

  • Apr 2015 - Oct 2015

  • Economic optimization of the hydroelectric generation of a water dam over the medium term; • Stochastic optimization model (water supplies + fossil generations marginal cost scenarios ) returning economic indicators in € / MWh, allowing to make the trade-off between hydroelectric generation and fossil generations. • Economic optimization of the hydroelectric generation of a water dam over the medium term; • Stochastic optimization model (water supplies + fossil generations marginal cost scenarios ) returning economic indicators in € / MWh, allowing to make the trade-off between hydroelectric generation and fossil generations.



Columbia University

• United States
• Higher Education
• 700 & Above Employee

• Research intern at the CCRM (Columbia Consortium for Risk Management): -

  • Apr 2014 - Aug 2014

  • Forecasting and management of climate and other natural hazards, in combination with advances in financial engineering and statistics. • Forecasting and management of climate and other natural hazards, in combination with advances in financial engineering and statistics.