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Jorge Nuñez De Cela RománJN

Jorge Nuñez De Cela Román

Data Scientist | Machine Learning | AI Systems

€350/day
Madrid, ES
3-7 years

Average response time: 1 hour

About Jorge

About

Data Scientist with a strong mathematical background and experience building production machine learning systems in startup environments.

I help companies turn raw data into valuable products by developing machine learning models, automating data workflows and building reliable data pipelines in Python.

In my professional experience I have worked end-to-end on ML projects: from data strategy and labeling design to model development, deployment and monitoring in production systems.

I have also developed AI solutions using modern LLM frameworks such as LangChain and LangGraph to automate decision-making workflows combining structured and unstructured data.

Typical projects I can help with

• Machine learning models for prediction or classification
• Python automation and data workflows
• Data pipelines and ETL processes
• Web scraping and data extraction
• Data analysis and modeling
• LLM-based systems and AI workflows
  • Spanish

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Bdeo
    Data Scientist | Data Developer
    AUTOMOBILE
    September 2025 - Today (10 months)
    Madrid, Spain
    • Designed a scalable data labeling strategy and trained a deep learning model for vehicle image segmentation, reducing production errors by 30%.

    • Built an end-to-end ML pipeline to detect AI-generated images, evaluating multiple encoders and external APIs and defining production decision thresholds.

    • Developed LLM-based agents using LangChain and LangGraph to automate claim and underwriting review workflows.

    • Built tree-based classification models on structured accident data to support automated operational decisions.
    LangChain Machine learning Python Deep Learning Pytorch
  • SwitchFleet
    Data Scientist / Tech Lead (Data)
    AUTOMOBILE
    November 2023 - September 2025 (1 year and 10 months)
    Madrid, Spain
    • Led the design and development of an XGBoost pricing model for vehicle renting and leasing, achieving <15% MAPE and supporting core product decisions.

    • Developed a neural network model to estimate vehicle NOx emissions, integrating predictions into internal product features.

    • Built similarity-based vehicle matching algorithms used in a SaaS platform for vehicle comparison and identification.

    • Automated data pipelines and web scraping workflows in Python (Selenium, requests), reducing manual operational work.
    Python Web scraping Machine learning Back-End development API
  • Capgemini
    Software Developer (Intern)
    CONSULTING AND AUDITS
    November 2022 - May 2023 (6 months)
    Valencia, Spain
    • Developed data processing scripts in Python and SQL for a large retail client.

    • Worked on data transformation and optimization tasks within a production environment.
    Python Data Cleaning and Preprocessing Exploratory Data Analysis SQL Data visualization

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Education

  • Master's in Big Data
    ICAI - Universidad Pontificia Comillas
    2024
    Master's in Big Data
  • Bachelor's Degree
    University of Valencia
    2023
    Bachelor's Degree

Skill set

Categories