Currently, I am an instructor in the field of Data Science at Alura, where I develop projects and courses covering data preprocessing and exploratory data analysis, data visualization, application of generative artificial intelligence, as well as the implementation and optimization of machine learning models. Additionally, I have an interest in the Big Data field and have experience with Apache Spark and BigQuery. I am passionate about learning new things and solving problems with creative solutions.
- Programming: Python
- Data libs and tools: Jupyter Notebook, Numpy, Pandas, Matplotlib, Seaborn, Plotly, Statsmodels, Scikit-learn, TensorFlow, XGBoost, Prophet, NLTK, Databricks Plattaform, Apache Spark, Google BigQuery, Google Cloud, IBM Watson Studio, MS Office, MS Excel, PowerBI and Google Suite.
Courses - Alura 👩🏫
- Hugging Face: explorando e aplicando soluções com modelos de IA
- Regressão: aprimorando os resultados com XGBoost
- Regressão: prevendo séries temporais com Prophet
- Data Science: analisando e prevendo séries temporais
- TensorFlow: implementando um perceptron de múltiplas camadas (MLP)
- Classificação: melhorando o desempenho com XGBoost
- Classificação: resolvendo problemas multiclasse
- Power BI: criando relatórios com auxílio de IA
- Machine Learning: utilizando ChatGPT como assistente
- ChatGPT: otimizando a qualidade dos resultados
- Data Visualization: criando gráficos com bibliotecas Python
- Pandas I/O: trabalhando com diferentes formatos de arquivos
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Data Heroines - Saving the World Through Data (Kaggle Competition with Carolina Dias and Marivaldo Torres Junior)
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Machine Learning in Healthcare: Predicting the Need for Hospitalization in ICU Beds During the COVID-19 Pandemic (in portuguese)
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Data Analysis: National Immunization Program (in portuguese)
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Analysis of Hospital Costs of SUS (Unified Health System) and Evolution of Mortality Rates in Brazil (in portuguese)
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Drug Discovery: Direct Search for New Drugs Using Specific Molecular Targets and Their Mechanisms of Action (MoA) (in portuguese) - 🏆 this project was selected as one of the 10 highlights, among more than 200 projects, in the 2021 Alura Data Immersion.
- Quais os efeitos do Storytelling no nosso corpo?
- Time Series Forecasting: Prophet é mesmo um Profeta?
- Como migrar para Tecnologia?
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Fungal Dysbiosis Correlates with the Development of Tumor-Induced Cachexia in Mice
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Draft Genome Sequence of 11399, a Transformable Citrus-Pathogenic Strain of Xylella fastidiosa
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Comparative Genomic Analysis of Coffee-Infecting Xylella fastidiosa Strains Isolated from Brazil
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Genomic Sequencing of Two Coffee-Infecting Strains of Xylella fastidiosa Isolated from Brazil
