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Enric G.EG

Enric G.

Optimisation & Decision Systems Engineer

€600/day
Paris, FR
3-7 years

Average response time: 1 hour

About Enric

Optimisation & Decision Systems Engineer | Operations Research • Simulation • Strategy

I am an Optimisation & Decision Systems Engineer specialising in simulation-driven decision systems and data-driven strategy tools.

I help engineering teams and decision-makers structure complex problems, compare scenarios under uncertainty, and optimise constrained systems using Python-based simulation and optimisation models.

My background comes from high-pressure, time-critical environments where decisions must be taken with incomplete information and tight constraints. I bring this disciplined, performance-focused mindset to industrial, engineering, and technology projects where trade-offs, risk, and system performance truly matter.

What I typically work on
  • Simulation models to evaluate what-if scenarios and strategic alternatives
  • Monte Carlo simulations to quantify uncertainty and risk exposure
  • Optimisation models (resource allocation, scheduling, policy comparison)
  • Performance analytics and KPI frameworks for decision support
  • Python-based strategy, planning, and operational optimisation tools
How I work
  • Clear problem framing before modelling
  • Explicit assumptions and structured decision logic
  • Modular, maintainable Python solutions
  • Transparent, interpretable outputs for decision-makers
  • Focus on actionable insights

Tools & expertise

Python · NumPy · Pandas · SciPy · Monte Carlo methods · Optimisation (OR, heuristics) · Simulation modelling · Data visualisation · Decision analytics · AI Agents

I am comfortable working independently or embedded within a team, and I adapt quickly to new domains where structured thinking, optimisation, and performance analysis are key.

📍 Available for freelance missions in strategy systems, simulation, optimisation, and decision analytics, both short-term and long-term.
  • English

    Native or bilingual

  • Spanish

    Native or bilingual

  • Catalan

    Native or bilingual

  • French

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • Freelance
    Strategy, Analytics & Optimization
    TECH
    November 2025 - Today (7 months)
    I support teams in improving decision-making and performance through data science and optimisation.

    My work focuses on building decision-support tools, predictive models, and analytics workflows that turn complex data into actionable insights.

    Engagements are flexible and adapted to team needs.
    Python Analytics Decision Support Data science Optimisation
  • Nissan Formula E Team
    Strategy & Data Analysis Engineer
    AUTOMOBILE
    April 2022 - November 2025 (3 years and 7 months)
    Paris, France
    Event Support & Race Strategy
    • Delivered clear, actionable insights for race weekend strategy, guiding engineers and drivers to optimise performance and data collection.
    • Made critical real-time decisions on energy management, Pit Boost, Attack Mode, and competitor performance during events.
    • Developed and used decision-support tools to evaluate race scenarios in real time.
    Simulation, Data & Performance Analysis
    • Led pre-event simulations, scenario planning, and post-race analysis.
    • Produced detailed performance reports, supporting data interpretation
    • Designed and improved automated strategy tools, enhancing data efficiency.
    • Performed in-depth competitor analysis to anticipate and react to rival strategies
    Software Development & Automation
    • Developed and maintained strategy toolsets using MATLAB and Python.
    • Performed statistical analysis and managed performance databases (SQL).
    • Automated repetitive workflows using AI agents and scripting tools.
    • Integrated custom tools into RaceWatch for real-time insights and decision-making.
    Python Data science Simulation Strategy Software Development
  • Nissan Formula E Team
    Simulation Engineer
    December 2020 - November 2022 (1 year and 11 months)
    Le Mans, France
    • Conducted offline simulations and data analysis to optimize setups and strategy.
    • Ensured fidelity between simulator models and on-track performance.
    • Managed Driver-in-the-Loop simulation sessions for race preparation and model tuning.
    • Supported remote race operations through live data analysis and visualization.

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Education

  • MSc Motorsport Engineering
    Oxford Brookes University
    2020
  • Aerospace Systems Engineering Degree
    Universitat Politècnica de Catalunya
    2019

Skill set

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