Arnaldo Gualberto
Senior Machine Learning Engineer at Wildlife Studios
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolArnaldo Gualberto is a Senior Machine Learning Engineer with a decade of experience building and deploying deep learning systems, currently driving ML initiatives at Wildlife Studios from São Paulo. A PhD candidate in Deep Learning and a Google Developer Expert in Machine Learning, he blends rigorous research with pragmatic engineering to deliver production-ready models. He has taught ML and IoT at the postgraduate level and contributed open data science tooling—such as notebooks for CartolaFC analysis—demonstrating applied expertise in sports analytics and large-scale data wrangling. Comfortable across research, mentorship, and product delivery, he repeatedly bridges academic advances and real-world product needs. Colleagues know him for turning complex model ideas into reproducible pipelines and for active community leadership in ML education.
10 years of coding experience
3 years of employment as a software developer
Graduado, Ciência da Computação, Graduado, Ciência da Computação at Universidade Federal da ParaíbaPhD candidate, Deep Learning, PhD candidate, Deep Learning at Universidade Federal de Campina Grande
English, Portuguese
Stackoverflow
334reputation
13kreached
5answers
7questions
Github Skills (13)
data-wrangling10
pandas10
jupyter-notebook10
data-cleaning10
python10
data-science10
keras6
deep-learning6
machine-learning6
csv6
tensor6
tensorflow6
dataframe6
Programming languages (5)
Github contributions (5)
henriquepgomide/caRtola
Jun 2017 - Nov 2022
Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-22. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil. Data cover years 2014-23.
Role in this project:
Data Scientist
Data ScientistContributions:5 reviews, 242 commits, 57 PRs in 5 years 5 months
Contributions summary:Arnaldo's primary contribution is the development of a Jupyter Notebook for creating samples. This notebook leverages Python and Pandas to perform data wrangling tasks on CartolaFC data, as well as cleaning tasks to remove NaN values. The user also appears to be involved in adding and updating features, specifically for generating machine learning models and analyzing player data.
pythondatacartolafcjupyter-notebookin-game
arnaldog12/Design-Patterns
Apr 2016 - May 2016
Contributions:11 commits, 1 branch in 1 month
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