Valerio Romano Cadura

MFE EPFL

Rome, Latium

Overview 

Valerio Romano Cadura is a highly skilled professional with expertise in machine learning, Python, financial analysis, optimization, forecasting, and deep learning. Currently serving as a Research Fellow at Euklid, Valerio has demonstrated a strong track record in academia with a Master of Engineering from EPFL and international experience from Stanford University, showcasing a dedication to continuous learning and growth in quantitative fields.

Work Experience 

  • Research Fellow

    2024 - Current

    Building Macro Data-Driven Insights. Forecasting economic trends with advanced modeling and analytics.

  • Business Analyst

    2023 - 2024

    Enhanced the accuracy of wind power forecasting by integrating machine learning techniques. Worked on the optimization of SOC battery statistical arbitrage. Developed Monte Carlo simulations for Profit at Risk measures of a thermoelectric power plant.

  • Machine Learning Intern

    2023 - 2023

    Learned the foundations of evolutionary computing and automated trading systems. Studied the Garch, Arima and Arma models. Developed a univariate forecasting system based on adaptive fuzzy logic using PyTorch. Worked on backtesting and production.

  • 2022 National Model United Nations New York Conference

    2022 - 2022

    Understood how bureaucracy can be a double edged sword. Created alliances between opposite parties.

  • PNR Green Economy Internship

    2018 - 2018

    A one-month training course in the city of Dublin, funded by the Italian Ministry of Education, with 30 participants selected based on their language skills. The main objectives of the course were to enhance language proficiency through the attendance of a specific English language course and to gain knowledge about the green economy theme through participation in a series of activities at local businesses and institutions.

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