Lucía Tajuelo López

VP Product at Trucksters
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Location
Madrid, Community of Madrid, Spain, ES
Languages
  • Español Native or bilingual proficiency
  • Gallego Native or bilingual proficiency
  • Inglés Full professional proficiency
  • Portugués Limited working proficiency
  • Rumano Limited working proficiency

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Experience

    • Spain
    • Truck Transportation
    • 100 - 200 Employee
    • VP Product
      • Oct 2022 - Present

      Creating a lean culture of product, based on discovery, cross-functional teams, iterative cycles of development, and metrics.

    • Head of Data Science
      • Apr 2019 - Nov 2022

      Grow up a superb operational research team that optimizes long-distance FTL trucking service through a relay model based on Mathematical Optimization & AI.Our objective is to automate and optimize our driver's schedules for maximum efficiency and to create a positive impact on drivers.

    • Spain
    • Operations Consulting
    • 1 - 100 Employee
    • Operational Researcher and Data scientist
      • Aug 2017 - Apr 2019

      Build mathematical models to improve business processes - Gather business needs and translate them into mathematical models - Develop pricing models for oil and gas companies - Develop optimization models for logistic companies - Model training for the user - Gather user feedback for further model iterations Build mathematical models to improve business processes - Gather business needs and translate them into mathematical models - Develop pricing models for oil and gas companies - Develop optimization models for logistic companies - Model training for the user - Gather user feedback for further model iterations

    • Business Consulting and Services
    • 700 & Above Employee
    • Assistant
      • Sep 2016 - Aug 2017

      Financial Risk Management in reference credit institutions - Analyze data quality for statistical models. Build quantitative methods to filter out proper data. - Build actionable reports on data quality including achievable action points so the client can improve its data quality. - Classification and segmentation of data based on risk profiles. - Select the best statistical risk model for the client. - Iterate on statistical models to introduce new risk frameworks. - Continuous validation of statistical models assuring the robustness of the statistical and economical hypothesis. Show less

Education

  • Universidad Santiago de Compostela
    Grado, Matemáticas
    2011 - 2016
  • International Language School of Canada
    English course
    2011 - 2011
  • Dundalk School
    English course
    2009 - 2009

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