Bento Gonçalves
Senior Data Scientist
Santa Catarina, Brazil
Summary
👤
Senior🎓
Top SchoolBento Gonçalves is a Senior Data Scientist with a decade of experience building production-grade ML systems that bridge research-grade computer vision and business impact across CPG, retail, environmental, aerospace, and healthcare. He holds a PhD for pioneering deep learning and Bayesian approaches to detect Antarctic fauna in petabyte-scale satellite imagery, and has applied that geospatial expertise to commercial problems like promo attribution and auction bid optimization. As a consultant and in-house engineer he has delivered measurable outcomes for Fortune 100 firms and startups—most notably a 20% net revenue lift from a deployed bidding model—and routinely ships well-tested, containerized pipelines on AWS, Azure, GCP and Kubeflow. Bento specializes in Bayesian modeling, contextual bandits, anomaly detection and custom explainability frameworks, while also refactoring complex PyTorch codebases to PyTorch Lightning for long-term maintainability. Based in Santa Catarina, Brazil, he pairs strong theoretical depth with practical software craftsmanship and an uncommon ability to translate geospatial and ML complexity into clear business value.
10 years of coding experience
7 years of employment as a software developer
University of KansasBacharelado em Ciências Biológicas, Ecology, Bacharelado em Ciências Biológicas, Ecology at Universidade Federal do Rio Grande do SulDoctor of Philosophy - PhD, Ecology and Evolutionary Biology, Doctor of Philosophy - PhD, Ecology and Evolutionary Biology at Stony Brook University
Portuguese, English, Spanish, French
Github Skills (22)
python10
use-case10
machine-learning10
seal10
deep-learning10
tensorflow10
science10
data-science9
ml9
deep-neural-networks9
neural-network9
eda7
pipeline7
data-profiling6
exploratory-data-analysis6
Programming languages (4)
Github contributions (5)
bentocg/seaice_deeplearning
Mar 2021 - Oct 2022
Contributions:166 commits, 50 pushes, 2 branches in 1 year 7 months
iceberg-project/Seals
Feb 2018 - Jun 2022
This repo will be used for ICEBERG-related science: scripts, models, figures, and findings related to ICEBERG and its Seal detection use case.
Contributions:1 review, 104 commits, 4 PRs in 4 years 5 months
pythonsciencefiguressealuse-case
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