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
- BdeoData Scientist | Data DeveloperAUTOMOBILESeptember 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.
- SwitchFleetData Scientist / Tech Lead (Data)AUTOMOBILENovember 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.
- CapgeminiSoftware Developer (Intern)CONSULTING AND AUDITSNovember 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.
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Education
- Master's in Big DataICAI - Universidad Pontificia Comillas2024Master's in Big Data
- Bachelor's DegreeUniversity of Valencia2023Bachelor's Degree