Alexander Robles
São Paulo, Brazil
Summary
🤩
Rockstar🎓
Top SchoolAlexander Robles is a Lead Data Scientist and Tech AI Lead based in São Paulo with nine years of experience building production-ready ML and software solutions. He combines deep learning expertise—particularly time series forecasting using LSTM, SARIMA and validation workflows—with hands-on engineering to take models from experiments to deployable systems. His open-source work includes a practical deep-learning time series repository that documents experiments and reproducible notebooks, reflecting a research-to-code mindset. Comfortable bridging data science and software engineering, he focuses on robust model pipelines and pragmatic evaluation rather than only novel architectures. Colleagues describe him as a pragmatic technical leader who values reproducibility and clear validation practices. He brings a blend of academic training from Universidade Estadual de Campinas and extensive applied experience solving temporal prediction problems for real-world use cases.
9 years of coding experience
Universidade Estadual de Campinas
English, Portuguese, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
pandas10
keras10
lstm10
time-series10
deeplearning-ai10
recurrent-neural-networks10
deep-learning10
machine-learning10
python10
matplotlib10
scikit-learn9
tensorflow9
scikit9
pytorch3
Programming languages (5)
Github contributions (5)
Alro10/deep-learning-time-series
Aug 2019 - Dec 2021
List of papers, code and experiments using deep learning for time series forecasting
Role in this project:
Data Scientist
Data ScientistContributions:333 commits, 14 PRs, 329 pushes in 2 years 4 months
Contributions summary:Alexander's commits primarily involve the development of an LSTM model for time series prediction, specifically for a sine wave. They initiated the project by importing necessary libraries and setting up the environment. The user then proceeded to load, visualize, and prepare the data, demonstrating a clear focus on time series analysis and deep learning techniques. Furthermore, the user added multiple models and notebooks (SARIMA, validation) to expand the project.
deep-learningtime-series-forecastinglstm-neural-networkslstmforecasting-models
Alro10/twitter-sentiment-live
Jun 2019 - Oct 2019
Sentiment analysis for tweets written in Portuguese-Brazil
Contributions:41 commits, 40 pushes, 1 branch in 4 months
sentiment-analysistweetstweepyvader-sentiment-analysisdash-app
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