Pedro Rechena

Pedro Rechena is a Data Scientist with experience at NOS SGPS since February 2020, specializing in innovation services and machine learning applications. Responsibilities include churn prediction model training, building machine learning pipelines using Spark, and evaluating business KPIs. Additional expertise encompasses time series anomaly detection, complaint prediction, and computer vision projects. A Master Thesis Internship featured a comparison of anomaly detection techniques in the telecom industry, while previous internships at Celfocus and EDP involved customer complaint prediction and data analysis. Pedro holds an Integrated Master in Electrical and Computer Engineering from Faculdade de Ciências e Tecnologia da Universidade NOVA de Lisboa and completed a course in computer science through Harvardx.