Beatriz Querido

Beatriz Querido

Legal-Financial Department

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location of Beatriz QueridoPorto, Porto, Portugal

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  • Timeline

  • About me

    Data Scientist @Infineon | MSc Data Analytics @FEP

  • Education

    • BI Norwegian Business School

      2020 - 2020
      Exchange Master Program Business Analytics

      - Got exposed to high-quality learning and teaching practices in one of the top ranked businessschools in Europe;- Acquired skills on domains such as Visualizations & Network Theory, Predictive Analytics,Supply Chain Analytics and Business Simulation Analysis.

    • FEP U. Porto – Economics and Management

      2015 - 2019
      Bachelor's degree Economics

      - Final grade: 14- Received solid and up-to-date economical background that helps the interpretation andimplementation of certain Data Science practices in the business context.

    • FEP U. Porto – Economics and Management

      2019 - 2022
      Masters Data Analytics

      - Final grade: 18- Got introduced to fundamental subjects such as Data Mining, Data Bases, Programming,Statistics and Optimization.- Thesis on the topic of Fair Pricing in the Telecom Industry, supervised by Professor João Gama and Nuno Paiva.

  • Experience

    • Academia de Política Apartidária

      Jan 2018 - Nov 2019
      Legal-Financial Department

      - Became responsible for the elaboration of partnerships and the subsequent contact with thisstudents organization’s partners.

    • CTT - Correios de Portugal

      Jul 2018 - Jan 2018
      Summer Internship, Data Management

      - Became responsible for processing and analysing national data received on a daily and/orweekly basis through Excel functions and macros.

    • Orfeão Universitário do Porto

      Nov 2018 - now
      • Member

        Jan 2017 - now
      • Board Member: Show Secretary & Treasurer

        Nov 2018 - Nov 2019
    • NOS SGPS

      Jan 2020 - Jul 2021
      Curricular Internship, Data Science

      - Developed an entire ML pipeline, executing tasks such as Data Understanding and Preparation,Modelling, Evaluation and Deployment, for a fair-pricing related problem;- Heavily used the following software/tools: DBeaver, mRemoteNG, Git and VSCode, codingin Python.

    • Eurostat

      Jul 2020 - Jan 2020
      Eurostat Coding Lab Project

      - Worked on the ”Gallery of Eurostat (meta)data visualisations” project, which aimed at extracting,transforming and visualizing metadata from the Eurostat database;- Visualizations were built on Jupyter Notebooks and further published into an article.

    • Infineon Technologies

      Jan 2023 - now
      Junior Export Control Data Scientist
  • Licenses & Certifications

    • Certificate in Advanced English (CAE)

      Cambridge Assessment English
      Jan 2015