Summary
Paula Núñez is a Senior Data Scientist and AI Engineer with 8 years of experience combining dual bachelor’s degrees in Computer Science and Mathematics and a master’s in Artificial Intelligence to deliver production-grade ML and generative AI solutions. She has a proven track record migrating monolithic R workflows to PySpark/Databricks, cutting pipeline runtimes by 80% and improving decision-making through LLM fine-tuning, OCR-driven document extraction, and real-time AI agents. Comfortable across cloud platforms (Azure, AWS, GCP) and tools like TensorFlow, PySpark, Snowflake and Power BI, she bridges data engineering, modeling and deployment using Dockerized, scalable architectures. Her work with enterprise clients (including Inditex) has reduced manual effort and errors substantially while achieving high classification and forecasting accuracies. Beyond hands-on engineering, Paula mentors teams and regularly gives talks to demystify AI, reflecting a rare combination of academic rigor and pragmatic, business-focused delivery.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Universidad Internacional de La Rioja
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Universidad de Granada
English