Descripción

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

Idiomas

Español
Bilingüe o nativo
Inglés
Competencia profesional completa

Preferencias de lugar de trabajo

Solo teletrabajo

Lleva a cabo sus proyectos principalmente en remoto

Bdeo
Data Scientist | Data Developer
AUTOMÓVIL
septiembre de 2025 - Hoy (9 meses)
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)
AUTOMÓVIL
noviembre de 2023 - septiembre de 2025 (1 año y 10 meses)
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)
CONSEJO & AUDITORÍA
noviembre de 2022 - mayo de 2023 (6 meses)
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 Limpieza y preprocesamiento de datos Análisis Exploratorio de Datos SQL Data visualization