Personal Information
Organização/Local de trabalho
São José dos Campos Area, Brazil, São Paulo Brazil
Cargo
Machine Learning Engineer at CI&T
Setor
Technology / Software / Internet
Sobre
Gabriel Moreira is a passionate Data Scientist and Machine Learning engineer.
Currently, he develops Machine Learning solutions at CI&T, specially related to Recommender Systems and Deep Learning models, supporting products and projects with Data Science methods, techniques, processes and tools.
He is a Doctoral student at Instituto Tecnológico de Aeronáutica - ITA. where he has also got his Masters on Computer Science.
He is also an enthusiastic agilist and speaker in industry and academic conferences, being a software engineer since 2002.
Specialties:
- Machine Learning, Data Mining and Statistics with Python, Scikit-Learn, Spark MLib, R, SPSS, MatLab, Tableau, Weka, Mahout.
- Big Da...
Marcadores
machine learning
recommender systems
data science
python
deep recommender systems
deep learning
news recommender system
analytics
pandas
scikit-learn
software metrics
continuous integration
devops
tensorflow
tfx
kubeflow
sistemas de recomendacao
feature enginering
data munging
smart canvas
topic modeling
scipy
numpy
hadoop
matplotlib
ipython notebook
neural networks
esri
imagem
métricas de software
manutenção de software
manutenibilidade
pipelines
continuous deployment
mlops
cognitive computing
chameleon
dssm
filtragem colaborativa
inteligência artificial
aprendizado de máquina
kaggle
statistics
data mining
feature selection
collaborative filtering
text vectorization
text feature extraction
pyspark
big data
spark
3d sensors
gesture recognition
libras
kinect
natural user interface
geogame
arcgis runtime
gis day
dashboard
arcgis
health status
dojo
android
agile tests
arcgis 10.1
devsummit
qualidade de software
orientação a objetos
predição de defeitos
análise estática de código
regressão de poisson
static code analysis
agile
code smells
broken-windows theory
continuous inspection
refactoring
software inspection
software quality
extreme programming
software evolution
xp
engenharia de software
qualidade de softare
goal-driven measurement
software measurement
olap
data warehouse
software product quality
Ver mais
Apresentações
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Balázs Hidasi
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Interactive Recommender Systems
Denis Parra Santander
•
Há 7 anos
Tips for data science competitions
Owen Zhang
•
Há 8 anos
Interactive Recommender Systems with Netflix and Spotify
Chris Johnson
•
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DataStax: Titan 1.0: Scalable real time and analytic graph queries
DataStax Academy
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Há 8 anos
Topic Modeling: Pave the Way for Your B2B Content Roadmap
ComBlu, Inc.
•
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Large-scale Recommendation Systems on Just a PC
Aapo Kyrölä
•
Há 10 anos
Large-Scale Machine Learning with Apache Spark
DB Tsai
•
Há 9 anos
Aws summit arquitetura big data-v1.2
Amazon Web Services LATAM
•
Há 8 anos
BDD on Java Concordion and Selenium
springbyexample
•
Há 11 anos
BDD with JBehave and Selenium
Nikolay Vasilev
•
Há 12 anos
BDD JBehave
Ismael
•
Há 12 anos
BDD: Cucumber + Selenium + Java
Cesar Augusto Nogueira
•
Há 11 anos
Recommender system introduction
Liang Xiang
•
Há 12 anos
Crab - A Python Framework for Building Recommendation Systems
Marcel Caraciolo
•
Há 12 anos
Crab: A Python Framework for Building Recommender Systems
Marcel Caraciolo
•
Há 12 anos
Netflix Recommendations - Beyond the 5 Stars
Xavier Amatriain
•
Há 11 anos
2013 05 BEA - ’Mobile is eating the World’
Benedict Evans
•
Há 10 anos
Continuous Inspection - Uma abordagem efetiva para melhoria contínua da qualidade de software
Roberto Pepato
•
Há 12 anos
Voce sabe o que é Agile ? Eu tambem não !
Fabiano Milani
•
Há 13 anos
Personal Information
Organização/Local de trabalho
São José dos Campos Area, Brazil, São Paulo Brazil
Cargo
Machine Learning Engineer at CI&T
Setor
Technology / Software / Internet
Sobre
Gabriel Moreira is a passionate Data Scientist and Machine Learning engineer.
Currently, he develops Machine Learning solutions at CI&T, specially related to Recommender Systems and Deep Learning models, supporting products and projects with Data Science methods, techniques, processes and tools.
He is a Doctoral student at Instituto Tecnológico de Aeronáutica - ITA. where he has also got his Masters on Computer Science.
He is also an enthusiastic agilist and speaker in industry and academic conferences, being a software engineer since 2002.
Specialties:
- Machine Learning, Data Mining and Statistics with Python, Scikit-Learn, Spark MLib, R, SPSS, MatLab, Tableau, Weka, Mahout.
- Big Da...
Marcadores
machine learning
recommender systems
data science
python
deep recommender systems
deep learning
news recommender system
analytics
pandas
scikit-learn
software metrics
continuous integration
devops
tensorflow
tfx
kubeflow
sistemas de recomendacao
feature enginering
data munging
smart canvas
topic modeling
scipy
numpy
hadoop
matplotlib
ipython notebook
neural networks
esri
imagem
métricas de software
manutenção de software
manutenibilidade
pipelines
continuous deployment
mlops
cognitive computing
chameleon
dssm
filtragem colaborativa
inteligência artificial
aprendizado de máquina
kaggle
statistics
data mining
feature selection
collaborative filtering
text vectorization
text feature extraction
pyspark
big data
spark
3d sensors
gesture recognition
libras
kinect
natural user interface
geogame
arcgis runtime
gis day
dashboard
arcgis
health status
dojo
android
agile tests
arcgis 10.1
devsummit
qualidade de software
orientação a objetos
predição de defeitos
análise estática de código
regressão de poisson
static code analysis
agile
code smells
broken-windows theory
continuous inspection
refactoring
software inspection
software quality
extreme programming
software evolution
xp
engenharia de software
qualidade de softare
goal-driven measurement
software measurement
olap
data warehouse
software product quality
Ver mais