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Carlos EspeletaCE

Carlos Espeleta

Data scientist

€400/day
Dubái, AE
8-15 years

Average response time: 1 hour

About Carlos

Carlos is a versatile data scientist and machine learning engineer with over 7 years of experience. During his career, Carlos has worked in international environments, with English or Spanish as a working language. This includes 5 years of consulting and 2 years working in a startup company based in Barcelona.
  • Spanish

    Native or bilingual

  • English

    Fluent

  • Catalan

    Native or bilingual

Can work on-site
Dubái (up to 50km)

Experience

  • GLOVO
    Data Scientist
    ENTERTAINMENT AND LEISURE
    November 2021 - March 2023 (1 year and 4 months)
    Barcelona, Spain
    Implemented an optimization model to reduce courier travel distances while keeping good content on high saturation periods. For big cities, this represented an average distance reduction of 15% without affecting the content.

    Implemented and deployed machine learning models to forecast orders across multiple countries.

    Implemented ETLs in SQL and production pipelines with Luigi and Jenkins.

    Machine Learning Python SQL Git Jenkins Forecasting Optimización Databricks AWS Docker
  • EVERIS - Technology & Advanced Solutions
    Senior Data Scientist
    CONSULTING AND AUDITS
    October 2018 - October 2021 (3 years)
    Barcelona, Spain
    Lead the implementation of a statistical model to optimize the (tube filling) refilling quantity used in a manufacturing plant, leading to 90k Euros savings in 2021.
    Designed and implemented a Shiny dashboard to analyze the model results, leading to a better understanding of the model and increased stakeholder engagement.

    Built a customer purchase propensity model for a food retailer, aiming on customizing the marketing strategy with personalized notifications.

    Mentored and assisted junior data scientists, reviewing their code and assisting in stakeholder management and communication.

    Machine Learning Statistics Python R SQL Git Databricks
  • Accenture
    Data Scientist
    LOGISTICS AND SUPPLY CHAIN
    October 2016 - October 2018 (2 years)
    Barcelona, Spain
    Statistical models for sales forecasting
    • Time series modeling and outlier detection
    • Data cleansing
    • Visualizations with Tableau and Shiny
    • Predictive modelling with Machine Learning
    • Product clustering using unsupervised techniques
    R Machine Learning Forecasting SQL Dashboards

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