Fabio Scielzo Ortiz

Career

• Data Scientist at IBiDat (UC3M-Santander Big Data Institute) (2024-)
• Pursuing a PhD in Statistics for Data Science at UC3M (2024-27)
• Teaching Python for Data Science at ANBAN Data Science Bootcamp (2025)
• Presentation of the paper "New clustering algorithms for large mixed-type data" in AMyC Congress (2024)
• Research assistant in the project "Distance & Depth Data Science for Dependency" at UC3M (2023-24)
• Master degree in Big Data Analytics at UC3M (2023-24)
• Exposition of the poster "Robust Clustering and Visualization of Multivariate Heterogeneous Data" at the National Congress of Statistics (SEIO 2023) - Certificate   Github
• Teaching Python programming at Academia Montero Espinosa (2023-24)
• Collaboration scholarship with Department of Statistics UC3M (2022-23) - Certificate   Github
• Bachelor degree in Statistics and Business at UC3M (2019-23) - Official title   Github   - Best academic record   Github

Projects

• PyDistances: a Python package with new robust distances for mixed-type data: Generalized Gower, Related Metric Scaling and Robust Mahalanobis. (PhD)
• FastKmedoids: a Python package with new robust and faster clustering algorithms for mixed-type data: Fast k-medoids and q-Fold Fast k-medoids. (PhD)
• PyFairnessAI: a Python package for applying Fairness Machine Learning workflows. (IBiDat)
• Madrid intercity bus demand forecasting system. (IBiDat)
• Educational virtual assistant: a virtual assistant designed to assist users of educational content based on videos. (IBiDat)
• Carpets shop virtual assistant: a virtual assistant designed to assist potential clients smartly and efficiently. (IBiDat)
• Bank complaints classification system: a system capable of classifying a given set fo bank users complaints in departments to be solved more efficiently. (IBiDat)
• Documents summarization system: a system capable of summarizing a given set of documents in different formats. (IBiDat)
• Automation of data extraction: automation of the process of extracting the MITMS mobility data. (IBiDat)
• Automation of documents extraction: automation of the process of extracting technical documents about pharmaceutical drugs. (IBiDat)
• Extraction of structured data from documents: extraction of structured information from technical documents about pharmaceutical drugs. (IBiDat)

Skills

• Data analysis and predictive modeling.
• Development intelligent systems based on Artificial Intelligence and Machine Learning.
• Development of applications and APIs for deploying intelligent systems to production.
• Automation of data extraction processes.
• Development of Python packages.
• Technical reporting and documentation.
• Hard worker, curious, proactive and committed.

Contact

• Linkedin
• GitHub

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';