Raphael Crespo
Professor at CESAR School
Recife, Pernambuco, Brazil
Summary
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Top SchoolRaphael Crespo is a Senior Data Scientist based in Recife with seven years of experience applying computer vision, machine learning and AI to industrial and financial problems. He has led end-to-end projects from ETL and model development to production—ranging from churn modeling at an investment firm and anomaly detection over 300,000 acres of sugarcane using ResNet, to explainable predictive models for household over-indebtedness at the Central Bank of Brazil. Currently working on industrial computer vision at CESAR, he blends rigorous academic training (MSc and ongoing PhD in AI at UFPE) with hands-on deployment experience in Databricks and satellite/drone imagery. Notably, his background in civil engineering and field-focused monitoring gives him an uncommon practical perspective on spatial and time-series problems, enabling solutions that tie models to real-world operational impact.
7 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Centro de Informática UFPEBS.c Civil Engineering, BS.c Civil Engineering at Universidade Católica de PernambucoPós-graduação Lato Sensu - Especialização Cybersecurity, Pós-graduação Lato Sensu - Especialização Cybersecurity at CESAR School
Stackoverflow
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Github Skills (22)
temporal8
pytorch-lightning7
uncertainty7
prediction6
time-series-forecasting6
forecast5
gpu5
forecasting5
seq2seq5
machine-learning5
python5
pytorch5
artificial-intelligence4
data-science4
deep-learning4
Programming languages (2)
Github contributions (5)
raphaelcp/viasat_case
Jun 2023 - Jun 2023
Contributions:14 pushes, 1 branch in 1 day
raphaelcp/dl-timeseries
Sep 2020 - Oct 2020
Contributions:12 pushes, 1 branch in 12 days
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