Alban M.

Energy and economics engineer and data scientist, I work at the intersection of quantitative modeling, energy markets, and industrial decarbonization strategies. I assist companies, consulting firms, and public actors in their investment and transition decisions by transforming complex data into clear and actionable analyses.

I have over 2 years of experience in energy consulting and analysis, notably at Deloitte Economic Advisory, where I contributed to large-scale projects in Europe:

- Modeling of electricity markets (long-term hourly scenarios up to 2050),

- Construction of industrial decarbonization roadmaps based on techno-economic scenarios,

- Analysis of climate policies (carbon contracts, support mechanisms),

- Prospective studies on hydrogen, infrastructure, and climate resilience.

My approach is strongly data-driven. I use Python daily for optimization, stochastic modeling, risk analysis, and time series exploitation (NumPy, Pandas, Pyomo, scikit-learn, etc.), complemented by excellent command of advanced Excel and energy modeling tools.

I can undertake missions such as:

- Modeling and analysis of energy markets

- Techno-economic studies (CAPEX/OPEX, profitability, technology comparison)

- Decarbonization trajectories and carbon diagnostics

- Decision support for investment and energy/climate strategy

- Development of custom models (Python / Excel)

Based in Paris, I am a graduate of Ecole Polytechnique and I work in French, English, and German, with clients in France and Europe.