Vanderlei Filho

Executivo De Gestão Da Informação E Dados at Grupo Equatorial Energia

Maranhão, Brazil
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Summary

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Senior
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Top School
Vanderlei Filho is an information and data management executive with over 17 years in the Brazilian electric sector, currently leading data governance, operational and regulatory reporting, and BI delivery at Grupo Equatorial Energia. He combines hands-on expertise in ETL, cloud platforms (AWS, GCP, Oracle OCI), Snowflake, dbt and Power BI with a strong background in SAP ecosystems and Oracle PL/SQL to turn complex data pipelines into actionable business insights. His career spans roles from frontline commercial systems analyst to analytics lead, giving him a rare end-to-end perspective on data quality, extraction/transformation processes and operational decision support. A former developer of predictive targeting models using SAS and machine learning, he also contributes open-source Python tooling for scikit-learn integration with Watson ML, reflecting ongoing practical engagement with ML tooling. Currently pursuing advanced studies in data analysis, AI and data engineering, Vanderlei blends academic rigor with pragmatic delivery to create measurable value for operations and regulatory compliance.
code8 years of coding experience
bookNanodegree Engenheiro(a) de Machine Learning, Nanodegree Engenheiro(a) de Machine Learning at Udacity
bookPós-graduação Lato Sensu - Especialização, Engenharia de Dados, Pós-graduação Lato Sensu - Especialização, Engenharia de Dados at PUC Minas
bookPós-graduação Lato Sensu - Especialização, Análise de Dados e Inteligência Artificial, Pós-graduação Lato Sensu - Especialização, Análise de Dados e Inteligência Artificial at UFMA - Universidade Federal do Maranhão
bookAnálise e Desenvolvimento de Sistemas, Análise e Desenvolvimento de Sistemas at Universidade Ceuma
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301reputation
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12answers
0questions
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Github Skills (14)

scikit-learn10
pandas10
python10
scikit10
setuptools9
package-development9
machine-learning9
file-transfer6
rust6
websocket6
docker6
docker-compose6
indexing6
dataframe6

Programming languages (11)

JuliaPowerShellDockerfileShellCSSCRustJavaScript

Github contributions (5)

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A template Python Package created with setuptools for seamless integration of custom scikit-learn transformations and Watson Machine Learning on IBM Cloud
Role in this project:
userData Scientist
Contributions:10 commits, 14 pushes, 1 branch in 1 day
Contributions summary:Vanderlei focused on setting up a Python package designed for integrating custom scikit-learn transformations within Watson Machine Learning. Their contributions primarily involved modifying the `setup.py` file, which likely handled the package's metadata, dependencies, and installation configurations. They also updated a file named `sklearn_transformers.py`, demonstrating interaction with scikit-learn by defining a custom transformer class, DropColumns.
watson-machine-learningpython-package-templatepythondata-scienceibm-cloud
🌊 Fast and friendly fluid dynamics on CPUs and GPUs
Contributions:11 pushes in 3 years 8 months
cudagpufluidfluid-dynamicsdynamics
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