Miguel A.
Data Scientist
Over his career, Miguel has made significant contributions at IBM, Banco Santander, and Atos, including authoring four patents in natural language processing and deep learning. He has been recognized as a winner of the HackThatStartup Datathon, and also serves as a competition juror for IBM’s AI challenges.
Miguel has driven performance gains of up to 30% across systems, and has successfully overseen cross‑functional teams in delivering enterprise-scale data products. He holds certifications from Microsoft, AWS, and IBM, and is currently pursuing a PhD at the Polytechnic University of Catalonia. Bringing together deep technical mastery and business insight, Miguel is dedicated to driving innovation and creating impactful AI solutions.
Main expertise
Google Cloud6 years
Azure5 years
AWS4 years
MySQL7 yearsExperience4
Senior Data Scientist
- Led AI/ML initiatives, including the development of demand forecasting models for pharmaceutical products, which reduced forecasting errors by 20% and improved supply chain reliability.
- Designed and deployed a medicine-matching system using NLP and deep learning, optimized prescription processing, and improved patient outcomes.
- Developed end-to-end ML pipelines in Databricks and Azure ML, ensured scalable and reproducible workflows for large-scale healthcare datasets.
- Improved the performance of existing models by up to 30% through advanced hyperparameter tuning, feature engineering, and model optimization.
AWS
Databricks
Apache Spark
Python
AWS Lambda
Senior Data Scientist
- Designed ML models for fraud detection and risk scoring, which reduced false positives by 15% while strengthening fraud prevention.
- Applied deep learning techniques to optimize credit scoring models, which increased approval rates without compromising risk exposure.
- Introduced Spark-based pipelines to handle high-frequency transactional data, enabling faster insights and decision-making.
MySQLAWSApache SparkPythonAWS Lambda
Data Scientist
- Developed NLP and deep learning solutions, which resulted in four patents filed in areas such as conversational AI, text summarization, and automated classification.
- Built production-grade ML pipelines for enterprise clients, improved model explainability, and increased adoption in regulated industries.
- Collaborated with IBM Research teams to accelerate the integration of deep learning techniques into client-ready products.
AWSPythonAWS Lambda
AWS S3Azure
Data Scientist
- Pioneered deep learning research projects, which resulted in patent applications focused on neural network optimization and semantic search.
- Applied machine learning models to large enterprise datasets, delivering predictive insights that improved client decision-making.
- Collaborated with R&D teams to design scalable architectures for ML deployment in production environments.
- Participated in European research consortia on AI, contributing to scientific publications and collaborative knowledge sharing.
MySQLApache SparkPythonAzureAssessments
Engineering excellence
Miguel’s overall performance in a 90-minute live technical assessment ranks in the top 15% of vetted Data Scientists at Proxify.
Certificates 5
Issued Jan 2025 - Expires Jan 2025
Credential ID 8bvddagr
Issued Jan 2023 - Expires Jan 2023
Credential ID 7E41094E942D361
Azure
Issued Jan 2025 - Expires Jan 2025
Credential ID 8bvddagr
Education
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