Gabriel Ziegler

Gabriel Ziegler is a Data Scientist and Software Engineer with 3 years of experience in financial, law-tech, and fraud detection industries, with a focus on data analysis and a strong software engineering background.

Currently, Gabriel is engaged in projects involving audio signal processing, neural networks, compressed sensing, and MRI reconstruction using PyTorch and Tensorflow.

He holds a BEng in Software Engineering from Universidade de Brasília with a GPA of 3.30/4.0, and a Major GPA of 3.42/4.0. He also completed his high school diploma at Rangitoto College.

Gabriel's professional journey includes roles such as Data Scientist I at Itaú Unibanco, Thesis Research Co-advisor at Universidade de Brasília, Data Scientist at Coopersystem, Data Scientist at Vert Soluções em TIC, and a finalist at the F8 Hackathon hosted by Facebook.

Moreover, he has a background as a Machine Learning Researcher & Engineer at AI.lab UnB and as a Data Science Researcher at AI.lab UnB, showcasing a broad spectrum of experience in the field.

In addition to his academic and professional pursuits, Gabriel Ziegler enjoys exploring Linux, i3wm, VIM, and other OS customizations.