José Oñate López

José Oñate López has a diverse work experience in various roles related to machine learning and data analysis. José started their career as an Adjunct Assistant Professor at Universidad del Norte in 2010 and worked there until 2013. José then joined Gas Natural Fenosa in 2011 as an Applied ML Engineer, where they developed a neural network model for fraud detection in the energy service. José was also responsible for implementing an optimization process to rank customers by fraudulent probability. In 2014, José transitioned to a Data Analyst role at Gas Natural Fenosa, where they worked on the BI Reporting Platform, handling ETL processes and creating dashboards using Tableau. In 2016, José joined Genesys as a Data Scientist. In this role, they specialized in artificial intelligence and machine learning, focusing on anomaly detection in time series and log files, sentiment analysis, customer intention, and topic detection. José was responsible for end-to-end development of machine learning components, ETL, and data pipelines using Python in Linux environments. José also developed web applications using plotly-dash for model decisions consumption. Finally, in 2023, José joined Eureka Labs as a Machine Learning Engineer. Further information regarding the duration of this role is not provided.

José Oñate López pursued their education in Electronic Engineering with a focus on Computer Science at Universidad del Norte from 2005 to 2009. José then continued their studies at the same institution, obtaining a Master's degree in Electronic Engineering with a specialization in Robotics and Intelligent Systems from 2010 to 2012.