Julio Quiñones

Julio Quiñones is a Machine Learning Engineer Senior at BBVA since May 2023, where involvement includes developing six predictive models utilizing a graph database and implementing the XGBoost algorithm, resulting in a 37% improvement in predictive accuracy. Prior experience includes a short tenure as Machine Learning Engineer Senior at Sintec in early 2023 and a role as Junior Machine Learning Engineer at NTT DATA from September 2021 to January 2023, where a successful code migration to PySpark and the design of a high-level data pipeline were accomplished. Previous positions include Data Scientist Junior at UnDosTres and Kantar, with a focus on ML algorithms and application development. An academic background includes a Bachelor of Science in Physics and Mathematics, along with a Master of Science in Theoretical Physics, all from Universidad Nacional Autónoma de México.