Paula Errasti

Paula Errasti is a data scientist who currently works at BEDROCK - Data by Design. Prior to their current position, Paula worked as a data analyst and scientist in the banking sector focused on developing risk models through machine learning. In this role, Paula was responsible for feature engineering for predictive default models, big data technologies (PySpark), and results communication with POs. The stack used in this role included Python, SQL, and SAS. Paula's previous role was as a researcher in the implementation of convolution neural networks (CNN) for the prediction of wind energy production in Spain. In this role, Paula worked with a team to develop CNNs that could accurately predict wind energy production in Spain.

Paula Errasti has a Master's in Computational Statistical Information Treatment from the Universidad Complutense de Madrid, a degree in Physics from the Universidad de Oviedo, and a degree in Mathematics from the Universidad de Oviedo. Paula also has certifications from Coursera in Discrete Optimization from The University of Melbourne, Spark and Python with PySpark on AWS for Big Data from Udemy, and Programa Especializado - Machine Learning with TensorFlow on Google Cloud Platform. Finally, they have a certification in C2 Proficiency from Cambridge Assessment English.

Their manager is Alex Lawton, CEO. Paula Errasti works with Manuel Souto - Data Scientist, Luis Llamedo - Junior Data Scientist, and Raúl Pérez - Staff Research Engineer.