Summary
Ricardo Pinto is a Senior Data Scientist with six years of experience who transitioned from a foundation in civil and structural engineering to building production-grade ML systems. He has delivered end-to-end solutions—migration of pandas pipelines to BigQuery, multilabel next-best-offer models that cut runtime by 75%, and model monitoring and event tracking for large consumer platforms. Comfortable across Python, Java, SQL, Azure and noSQL, he combines data engineering, feature engineering and MLOps to productize models and dashboards. His background in civil engineering and legal consulting gives him a practical, evidence-driven approach to technical reporting and risk-aware model validation. Currently at Logcomex, he’s working on recommendation and abandonment-prediction projects that blend NLP, deep learning and traditional ML. Colleagues value him for turning messy, real-world data into operational models that scale.
6 years of coding experience
Machine Learning Engineering for Production (MLOps), Data Science, Machine Learning Engineering for Production (MLOps), Data Science at Coursera
Statistical Learning, Estatística, Statistical Learning, Estatística at edX
Nanodegree em Ciência de dados, Ciência de Dados, Nanodegree em Ciência de dados, Ciência de Dados at Udacity
NEXT - Nova EXperiência de Trabalho, Ciência de Dados, NEXT - Nova EXperiência de Trabalho, Ciência de Dados at CESAR School
Programa de intercâmbio Erasmus, Civil Engineering, Programa de intercâmbio Erasmus, Civil Engineering at University of Ljubljana, Faculty of Civil and Geodetic Engineering
Data Visualization Bootcamp, Ciência de dados, Data Visualization Bootcamp, Ciência de dados at DPhi
Erasmus Intensive Language Course, Erasmus Intensive Language Course at Univerza v Mariboru
Certificate of Proficiency in English, Certificate of Proficiency in English at University of Cambridge
Aceleradev Data Science, Ciência de dados, Aceleradev Data Science, Ciência de dados at Codenation
Deep Learning Bootcamp, Ciência de dados, Deep Learning Bootcamp, Ciência de dados at AI Planet
Mestre, Engenharia Civil, Mestre, Engenharia Civil at Faculdade de Engenharia da Universidade do Porto
Portuguese, English, Italian, Spanish