Currently, he is Corporate Data Science Specialist / Machine Learning at Agibank. He is also coordinator of the Graduate Course of Data Cience at Uniritter (Laureate International Universities).
He is Ph.D. in Computer Science (2019) by the Pontifical Catholic University of Rio Grande do Sul - PUCRS.
He was Substitute Lecture at Federal University of Santa Maria - UFSM from March 2014 to August 2015.
He is MSc in Computer Science (2015) by the Federal University of Santa Maria - UFSM.
In 2012 he was one of the founders of Gruboo, an online food order and delivery service, which acts as an intermediary between independent take-out food outlets and customers. In 2016 it was sold to Delivery Much.
Currently, He is developing pipelines for models, exploring tools like MlFlow, MetaFlow, AirFlow, Docker, Kubernetes, and SageMaker. Collaborating closely with partners and other scientists, data analysts and data engineers. Developing, teaching and promoting workshops, coaching, and lectures to encourage the Data-Driven Culture addressing technologies such as Spark, Scala, Python, and R on AWS architecture, as well as best practices of libraries such as Pandas, Vaex, Numpy, Sklearn, Scipy, Statsmodel, Tensorflow, Keras, and Theano..
He has experience in Artificial Intelligence, Data Mining, Machine Learning, and Software Engineering, working mainly with Big data, Data Streams, Supervised and Unsupervised ML, and Case Based Reasoning.
I code in Python, Spark, R, Scala and Ruby on Rails.
Education
Experience
Full Resume
Research
My main research interests are in Machine Learning, Data Stream and Big Data. In particular, he is interested in Data-Driven, Novelty Detection, Concept Drift, Time Series Clustering, Object Tracking, Regularization and Dimensionality Reduction.
The pulications are listed on Google Scholar.