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.

• Pandas I/O: trabalhando com diferentes formatos de arquivos
• Data Visualization: criando gráficos com bibliotecas Python
• ChatGPT: otimizando a qualidade dos resultados
• Machine Learning: utilizando ChatGPT como assistente
• Power BI: criando relatórios com auxílio de IA
• Classificação: resolvendo problemas multiclasse
• Classificação: melhorando o desempenho com XGBoost
• TensorFlow: implementando um perceptron de múltiplas camadas (MLP)

• Séries temporais com Prophet. Análise e previsão de dados com Python

• Data Heroines - Saving the World Through Data (Kaggle Competition with Carolina Dias and Marivaldo Torres Junior)

• Machine Learning in Healthcare: Predicting the Need for Hospitalization in ICU Beds During the COVID-19 Pandemic (in portuguese)

• Scenarios and Effects of the Pandemic Caused by the New SARS-CoV-2 Coronavirus in Amazonas: Analysis and Prediction of Time Series with the Prophet Library (in portuguese)

• Data Analysis: National Immunization Program (in portuguese)

• Analysis of Hospital Costs of SUS (Unified Health System) and Evolution of Mortality Rates in Brazil (in portuguese)

• 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?

🌐 more posts...

• The Quorum Sensing Auto-Inducer 2 (AI-2) Stimulates Nitrogen Fixation and Favors Ethanol Production over Biomass Accumulation in Zymomonas mobilis

• Fungal Dysbiosis Correlates with the Development of Tumor-Induced Cachexia in Mice

• Transcriptomic Profiling Identifies Novel Transcripts, Isomorphs, and Noncoding RNAs in Paracoccidioides brasiliensis

• ParaDB: A Manually Curated Database Containing Genomic Annotation for the Human Pathogenic Fungi Paracoccidioides spp.

• Functional and Evolutionary Characterization of a UDP-Xylose Synthase Gene from the Plant Pathogen Xylella fastidiosa, Involved in the Synthesis of Bacterial Lipopolysaccharide

• Draft Genome Sequence of 11399, a Transformable Citrus-Pathogenic Strain of Xylella fastidiosa

• Thioridazine Inhibits Gene Expression Control of the Cell Wall signaling Pathway (CWI) in the Human Pathogenic Fungus Paracoccidioides brasiliensis

• Comparative Genomic Analysis of Coffee-Infecting Xylella fastidiosa Strains Isolated from Brazil

• Genomic Sequencing of Two Coffee-Infecting Strains of Xylella fastidiosa Isolated from Brazil