Gabriel Nogueira

Intern at BNP Paribas Personal Finance
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Paris Metropolitan Region, FR

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Experience

    • France
    • Banking
    • 700 & Above Employee
    • Intern
      • Apr 2022 - Present

      As part of the Business Performance team, worked on the enhancement of predictive Machine Learning tools used for preparing outbound marketing campaigns. • Focus on enhancing ensemble learning algorithms already in use. • Also took part on the elaboration of A/B test for telemarketing campaigns. As part of the Business Performance team, worked on the enhancement of predictive Machine Learning tools used for preparing outbound marketing campaigns. • Focus on enhancing ensemble learning algorithms already in use. • Also took part on the elaboration of A/B test for telemarketing campaigns.

    • France
    • Higher Education
    • 700 & Above Employee
    • Master M2
      • Oct 2020 - Present

      Student at MASEF program focused on financial mathematics. Student at MASEF program focused on financial mathematics.

    • Germany
    • Financial Services
    • 700 & Above Employee
    • Intern
      • May 2021 - Aug 2021

      Studied the use of Reinforcement Learning techniques for Market Making on ETF’s. The main approaches considered for solving the problem were TD (Temporal Difference) Learning and the use of Actor-Critic Algorithms. The study was mainly based on simulations. • Project based on the work of Castello Branco (2018). • Use of core machine learning modules for Python: Pytorch and Pandas. • Practical data analysis problems such as price-diffusion calibration. Studied the use of Reinforcement Learning techniques for Market Making on ETF’s. The main approaches considered for solving the problem were TD (Temporal Difference) Learning and the use of Actor-Critic Algorithms. The study was mainly based on simulations. • Project based on the work of Castello Branco (2018). • Use of core machine learning modules for Python: Pytorch and Pandas. • Practical data analysis problems such as price-diffusion calibration.

    • France
    • Research Services
    • 700 & Above Employee
    • Diplôme d'Ingénieur
      • Jan 2017 - Oct 2020

      - Major at Applied Mathematics - Major at Applied Mathematics

    • France
    • Aviation and Aerospace Component Manufacturing
    • 1 - 100 Employee
    • Estagiário
      • Jun 2018 - Aug 2018

      Assisted the company's team in a study for the development of a net recovery system for their drone, allowing it to be fully operated from vessels. - Reviewed literature and analyzed analogue systems already in use on the market. - Carried out a statistical study on the drone’s stability during flight. - Determined the fundamental dimensions for the net recovery system. Assisted the company's team in a study for the development of a net recovery system for their drone, allowing it to be fully operated from vessels. - Reviewed literature and analyzed analogue systems already in use on the market. - Carried out a statistical study on the drone’s stability during flight. - Determined the fundamental dimensions for the net recovery system.

Education

  • Université Paris Dauphine - PSL
    Master M2, Applied Mathematics
    2020 - 2022
  • École Polytechnique
    Diplôme d'Ingénieur, Applied Mathematics
    2017 - 2020

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