Summary
Renzo Morales is a research-focused data scientist and electrical engineer with nine years of multidisciplinary experience blending materials science, computational physics and applied machine learning. Holding a master's in Materials Science and Engineering (Computational Physics) from UFSC and international study in electrical engineering, he has led predictive analytics and ML projects at Senior Sistemas—from turnover and churn risk models to facial liveness recognition and automated product/cargo classifiers. He is proficient in Python, Matlab, Git, MySQL and frameworks like Theano and TensorFlow, and has a track record of moving models from research into production for HR and customer-retention use cases. Earlier work includes satellite image processing and anomaly detection for meteorological datasets, showing strong signal-processing and time-series expertise beyond standard tabular ML. Colleagues describe him as a hands-on researcher who pairs academic rigor with practical feature engineering and model validation. Based in Santa Catarina, Brazil, he combines deep domain knowledge with a persistent focus on solving real-world business problems using AI.
9 years of coding experience
4 years of employment as a software developer
Ciência e Engenharia de Materiais - Física Computacional, Mestrado, Ciência e Engenharia de Materiais - Física Computacional, Mestrado at Universidade Federal de Santa Catarina
Electrical and Electronics Engineering, Electrical and Electronics Engineering at University at Buffalo
Portuguese, English, Spanish, French