Freelancer profile translated to English.
Back to original languageAbout Rebeca
Hello, I'm Rebeca, a Data Scientist and AI Engineer specializing in transforming complex data into practical, business-oriented solutions.
I have experience in developing predictive models, time series analysis, anomaly detection, and recommendation systems, participating in the entire data lifecycle: from ingestion and cleaning to deployment in production environments. I have worked with large volumes of data using PySpark and Databricks, as well as in cloud environments like Azure and AWS.
During my professional experience, I have collaborated on real-world projects involving operational optimization, demand forecasting, and data pipeline automation, always ensuring the quality, consistency, and usefulness of information for decision-making. I have also developed applied artificial intelligence solutions, including the use of language models (LLMs), RAG architectures, and serverless deployments.
I hold a degree in Computer Engineering and a Master's in Data Science, which allows me to combine practical experience with up-to-date technical knowledge in machine learning and artificial intelligence.
I am currently available for new freelance projects, offering an autonomous, rigorous, and results-oriented approach. If you are looking for a Data Scientist capable of adding real value from the outset, I would be delighted to help.
Spanish
Native or bilingual
Remote only
Primarily works remotely
Experience
- Sala SCALAData Scientist / AI EngineerJuly 2025 - November 2025 (4 months)Development of LLM-based AI agents for intelligent query resolution in multi-agent platforms, using RAG, Pinecone, and Vertex AI. Deployment of solutions on AWS, integrating services like Lambda, API Gateway, and DynamoDB.
- Grupo DISAData ScientistJanuary 2024 - Today (2 years and 5 months)Time series prediction models for operational metrics and car wash station demand using Azure Databricks and PySpark. Anomaly detection in user logs applying Deep Learning (Autoencoders) and Markov Chains, leading the project from design to validation. Product recommendation system for the app using content-based filtering and user similarity. Automation of ETL processes and reporting pipelines with Python, SQL, and Power Automate. Support in data validation and consistency for a fuel transport route optimization model.
- The Singular FactoryData ScientistSeptember 2022 - January 2024 (1 year and 4 months)Development of a recovery rate prediction model, covering the entire data science cycle: cleaning, null value imputation, training, and evaluation. Database automation: design of a PostgreSQL database and data ingestion automation.
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Education
- Degree in Computer EngineeringUniversity of Las Palmas de Gran Canaria2023Grado en Ingeniería Informática
- University Master's Degree in Data ScienceUniversitat Oberta de Catalunya2024Máster universitario de Ciencia de Datos
Certifications
- Specialization Program: Machine LearningDeepLearning.AI2022