Miguel A.

Data Scientist

Miguel is an accomplished AI Engineer with seven years of hands-on, commercial experience architecting and deploying AI/ML solutions using Python, Apache Spark, Azure ML, and Databricks.

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 Cloud
    Google Cloud 6 years
  • Azure
    Azure 5 years
  • AWS
    AWS 4 years

Other skills

  • Scala
    Scala 3 years
  • Amazon SageMaker
    Amazon SageMaker 3 years
  • Java
    Java 2 years
Miguel

Miguel A.

Spain

Get started

Selected experience

Employment

  • Senior Data Scientist

    IQVIA - 3 years 7 months

    • 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.

    Technologies:

    • Technologies:
    • AWS AWS
    • Databricks Databricks
    • Apache Spark Apache Spark
    • Python Python
    • AWS Lambda AWS Lambda
    • AWS S3 AWS S3
    • Data Science
    • Google Cloud Google Cloud
    • NumPy NumPy
    • Pandas Pandas
    • Scikit-learn Scikit-learn
    • Azure ML Azure ML
    • NLP
    • Machine Learning Machine Learning
    • AWS EC2 AWS EC2
    • Redshift Redshift
    • AWS ECS AWS ECS
    • PySpark PySpark
    • Anthropic API Anthropic API

  • Senior Data Scientist

    Banco Santander - 1 year 2 months

    • 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.

    Technologies:

    • Technologies:
    • MySQL MySQL
    • AWS AWS
    • Apache Spark Apache Spark
    • Python Python
    • AWS Lambda AWS Lambda
    • AWS S3 AWS S3
    • Azure Azure
    • Data Science
    • NumPy NumPy
    • Pandas Pandas
    • Scikit-learn Scikit-learn
    • Machine Learning Machine Learning
    • AWS EC2 AWS EC2
    • Redshift Redshift
    • AWS ECS AWS ECS
    • PySpark PySpark

  • Data Scientist

    IBM - 3 years 11 months

    • 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.

    Technologies:

    • Technologies:
    • AWS AWS
    • Python Python
    • AWS Lambda AWS Lambda
    • AWS S3 AWS S3
    • Azure Azure
    • Data Science
    • TensorFlow TensorFlow
    • NumPy NumPy
    • Keras Keras
    • Pandas Pandas
    • Scikit-learn Scikit-learn
    • NLP
    • Machine Learning Machine Learning
    • AWS EC2 AWS EC2
    • Team Leading
    • Redshift Redshift
    • AWS ECS AWS ECS
    • IBM Watson IBM Watson

  • Data Scientist

    Atos - 1 year 3 months

    • 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.

    Technologies:

    • Technologies:
    • MySQL MySQL
    • Apache Spark Apache Spark
    • Python Python
    • Azure Azure
    • Data Science
    • Google Cloud Google Cloud
    • NumPy NumPy
    • Pandas Pandas
    • Scikit-learn Scikit-learn
    • NLP
    • Machine Learning Machine Learning
    • PySpark PySpark

Education

  • Doctor Of PhilosophyArtificial intelligence

    Polytechnic University of Catalonia · 2025 - 2029

  • MSc.Biostatistics and bioinformatics

    Universidad de Barcelona · 2019 - 2020

  • Standalone coursePython Expert Degree

    Universidad Oberta de Catalunya · 2018 - 2019

  • MSc.Business Intelligence and TI

    EAE Business School · 2017 - 2018

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