Summary
Yolanda De La Hoz Simón is a Senior Data Scientist with a decade of experience designing ML-driven solutions and building large-scale data and distributed systems across finance, research and transport sectors. She combines academic rigour in applied mathematics and computer science with hands-on engineering from CERN to BBVA and now Microsoft, delivering probabilistic forecasting, federated learning and data-mesh PoCs into production. Her background spans end-to-end pipelines, from Kafka/Spark/Airflow architectures to model deployment and observability, and she has applied these skills to cybersecurity, autonomous vehicles and C-ITS projects. Comfortable communicating research to stakeholders, she has a track record of turning R&D into practical business impact and sharing results via talks and technical dissemination. An uncommon detail: alongside technical depth she holds formal training in piano, reflecting a blend of analytical precision and creative discipline.
10 years of coding experience
6 years of employment as a software developer
Master's degree - Applied Mathematics Data Science, Master's degree - Applied Mathematics Data Science at Université Côte d'Azur
Self-driving car engineer nanodegree, Self-driving car engineer nanodegree at Udacity
BEST summer school in Cloud Computing, BEST summer school in Cloud Computing at Gheorghe Asachi Technical University of Iași
Professional Intermediate-level Music Qualification Piano specialization, Professional Intermediate-level Music Qualification Piano specialization at Conservatorio de Música de Alcalá de Henares
Summer student - Business, Summer student - Business at Eindhoven University of Technology
Master's degree - Computer Science Engineering - Data Analytics & Big Data, Master's degree - Computer Science Engineering - Data Analytics & Big Data at Universidad Politécnica de Madrid
Spanish, English, German, French