Pablo Sebastián Vera

Pablo Sebastián Vera has a diverse work experience in the field of machine learning and data science. Pablo Sebastián recently joined Tenjin as a Sr. Machine Learning Engineer in April 2022. Prior to this, they worked at Rappi from 2019 to 2022, where they held roles as a Sr. Machine Learning Engineer and Ssr. Machine Learning Engineer in the Fraud Prevention department. At Rappi, they were involved in designing machine learning models to reduce fraud losses, automating model retraining using Airflow, and defining online metrics for monitoring model performance. Pablo Sebastián also modeled credit risk profiles and designed ETL pipelines to reduce cash leakage in multiple countries.

Before Rappi, Pablo worked at Mercado Libre from 2017 to 2019 as a Ssr Data Scientist and Jr Data Scientist in the Machine Learning Fraud Prevention team. Pablo Sebastián utilized unsupervised methods for user clustering, deployed and maintained productive APIs, and monitored business metrics. Pablo Sebastián also gained experience in understanding user behaviors from online payments, extracting features for modeling normal and fraudulent patterns, and training and evaluating neural networks and gradient boosted tree models.

Pablo's career started as an Internship Student at Servicio de Catastro e Información Territorial in 2017, where they performed tasks such as migrating historical records, developing systems for record lookup and generating statistics, and creating an application for displaying land properties' annual registry.

Overall, Pablo Sebastián Vera has a strong background in machine learning, data science, and fraud prevention, with experience in designing models, automating processes, and analyzing data for various companies in the industry.

Pablo Sebastián Vera completed their education at the University of Buenos Aires from 2018 to 2019, where they earned a Master of Science degree with a specialization in Artificial Intelligence. Prior to that, they attended the Universidad Nacional del Litoral from 2011 to 2017, where they pursued a degree in Ingeniería en Informática. It is not specified what field of study they focused on during their undergraduate degree. Additionally, in November 2018, Pablo obtained a certification in Neural Networks and Deep Learning from Coursera.