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Carlos Javier Gil BellostaCJ

Carlos Javier Gil Bellosta

Statistical Consultant

€400/day
Madrid, ES
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Carlos Javier

Data scientist with experience in companies such as eBay, BBVA, Barclays, Santander, Boston Consulting Group, and Perkin Elmer, both in Spain and abroad.

Although based in Madrid, he studied mathematics and statistics at the University of Zaragoza and Washington University in St. Louis, USA.

He began working as a freelancer in 2005 and has worked with large and small data since then. He is an active member of the R user community and was the first president of the R user association (Comunidad R Hispano) after its founding in 2011. However, for the last five years, he has been working regularly with Python.

He is a technology enthusiast and has hands-on experience with data science tools such as databases (relational and non-relational), cloud services (GCP, Azure, AWS, and others), AI (particularly LLMs), and, of course, the usual productivity tools (git, etc.).
  • English

    Fluent

  • Spanish

    Native or bilingual

Can work on-site
Madrid (up to 50km), Madrid (up to km)

Experience

  • Rosenthal Research
    AI Consultant
    DIGITAL AND IT
    February 2026 - March 2026 (1 month)
    Barcelona, Spain
    The Challenge:The client’s team was bogged down by complex, manual review of incoming proposals across various languages and formats (PDFs, spreadsheets, emails). This high-overhead process delayed decision-making and diverted talent from high-value strategy.

    The Solution:I engineered a semi-autonomous agent leveraging LLMs to ingest, translate, and evaluate heterogeneous data. The system generated rich, actionable reports with citations, allowing human reviewers to verify and finalize decisions in a fraction of the time.

    The Impact:Automated over 200+ man-hours monthly and standardized the evaluation criteria across global offices.
    LLM Python
  • SandboxAQ
    Data scientist
    PHARMACEUTICALS INDUSTRY
    May 2022 - September 2024 (2 years and 4 months)
    Washington, United States
    Large-scale prediction project of medical device demand, its needs, and distribution.
    Machine Learning Logistics Python Time Series Predictive Models
  • B2Marketplace
    Data scientist
    E-COMMERCE
    May 2020 - May 2024 (4 years)
    Optimization of bids in marketplaces (Amazon, etc.). Creation of predictive models to determine the optimal bidding level based on historical clicks and conversions.
    Data science Predictive Models

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Education

  • Bachelor of Science in Mathematics
    University of Zaragoza
    1997
  • Master of Science in Mathematics
    Washington University in Saint Louis
    1998

Skill set

Categories