Summary
Valentina Mendizábal is a Data Scientist with nine years of experience blending engineering rigor, mathematical research, and production ML to extract decision-grade insights from complex document and streaming data. Currently at Relyens, she builds and industrializes pipelines that combine OCR, NLP/LLMs and PySpark to turn large medical documents and open hospital data into structured signals for patient safety and risk benchmarking. Her background includes a PhD-focused research stint on streaming-summary methods at Orange, giving her unusual expertise in compact, online representations of data that reduce storage and compute needs. She is hands-on across MLOps (Databricks, Azure Data Factory, Docker, Kubernetes, Jenkins) and product-facing tooling (Streamlit dashboards, cohort builders, clinical terminology services). Valentina is also an open-source-minded research engineer who enjoys data mining and visualization, and she often optimizes algorithms for resource and cost efficiency in real-world healthcare and insurance settings.
9 years of coding experience
Master 2 (M2), Master 2 (M2) at Université de Lorraine
Ingénierie informatique, Ingénierie informatique at TELECOM Nancy
Research Doctorate, Research Doctorate at Université Paris 1 Panthéon-Sorbonne
Classes préparatoires aux Grandes Ecoles, Classes préparatoires aux Grandes Ecoles at Lycée Champollion
Spanish, French, English, Japanese, Portuguese