Fernando Carazo
Senior Data Scientist - Veeva Link Data Science
Pamplona, Navarre, Spain
Summary
👤
Senior🎓
Top SchoolFernando Carazo is a Senior Data Scientist and AI Engineer with over a decade of experience applying machine learning and deep learning to healthcare and pharma problems, currently accelerating product innovation at Veeva Link Data Science. He builds end-to-end ML systems—from neural embeddings and graph ML to LLM agents and vector databases—deploying and monitoring models in production with MLflow, Docker, and AWS. His background blends rigorous academic research (PhD in AI and computational biology, visiting researcher at Stanford) with hands-on industry delivery, including precision medicine projects and large-scale clinical ETL pipelines. Fernando is an active open-source contributor (lead developer for skforecast’s deep learning forecasting module) and teaches AI and ML as an associate professor, uniquely bridging research, education, and product engineering. He’s fluent in PyTorch/TensorFlow ecosystems, Hugging Face tooling, and cloud-native deployments, and has a track record of translating complex biomedical data into actionable insights for clinicians and commercial teams. Based in Pamplona, he combines scientific rigor with practical product focus, often favoring explainable AI for real-world clinical adoption.
10 years of coding experience
10 years of employment as a software developer
PhD. in Artificial Intelligence and Computational Biology for precision medicine and cancer genomics, cum laude - Extraordinary Award - Mention for International Thesis, PhD. in Artificial Intelligence and Computational Biology for precision medicine and cancer genomics, cum laude - Extraordinary Award - Mention for International Thesis at Universidad de NavarraVisiting Researcher, Computer Science, Visiting Researcher, Computer Science at Stanford University
English, Spanish
Github Skills (45)
lstm-neural-networks10
arima10
time-series10
forecasting10
time-series-forecasting10
statsmodels10
lightgbm10
sarimax10
data-science9
xgboost9
python9
machine-learning9
statistics9
scikit-learn9
biomedical9
Programming languages (5)
Github contributions (5)
FernandoCarazoMelo/introduccion-a-python
Jan 2021 - May 2021
Contributions:45 commits, 39 pushes, 3 branches in 3 months
FernandoCarazoMelo/Machine-Learning-for-Biomedical-Data
Jan 2021 - Sep 2022
Course of Machine Learning for Biomedical Data -TECNUN University of Navarra
Contributions:57 commits, 6 PRs, 49 pushes in 1 year 7 months
pythondata-sciencebiomedical-datamachine-learningnavarra
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