Anderson Viana

Data Scientist

https://talent.gravityer.com/anderson-viana

Member since June 24, 2026

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python and Jupyter Notebook for data manipulation and machine learning tasks.
Exposure to hyperparameter optimization (MOPSO_CD) and imbalance learning techniques.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing on specific data science problems. While demonstrating initiative, the lack of team-based or production-oriented projects makes it difficult to assess cultural fit for a collaborative, industry setting. The project diversity is good within the data science domain, but broader industry exposure is not evident.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. Psychometric test scores are zero, and no interview data is available.

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Projects

tsallis_pipeline

June 17, 2026 – Present

tsallis_pipeline — GitHub repository

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projeto_parkinson

June 16, 2026 – Present

projeto_parkinson — GitHub repository

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ablacao_tsallis_audio

May 21, 2026 – Present

Analise de Ablacao de Variaveis de Entropia de Tsallis na Classificacao da Doenca de Parkinson via Sinais de Voz: Um Estudo de Dimensionalidade e Desempenho de Modelos Classicos de Aprendizado de Maquina

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resumo_conferencia

May 6, 2026 – Present

resumo_conferencia — GitHub repository

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mpso_pymoo_optimization

January 16, 2026 – Present

Pymoo MOPSO_CD (with crowding distance) used for hyperparameter optimization from SVM with RBF kernel model

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imbalanced_learn_example

October 18, 2024 – October 18, 2024

Neste exemplo serão mostradas técnicas para análise e balanceamento de conjuntos de dados utilizando a biblioteca imbalanced-learn

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pd_categories_example

October 18, 2024 – October 18, 2024

Exemplos de demonstração de criação de categorias com o Pandas

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dataframes_examples

October 18, 2024 – October 18, 2024

07 (sete) formas de criar DataFrames com a biblioteca Pandas

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luigi_toml_example

October 16, 2024 – October 18, 2024

Exemplo de pipeline utilizando luigi com TOML

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housePrices

September 18, 2024 – September 18, 2024

Neste projeto utilizamos um dataset que possui dados reais de preços de casas para realizar previsões. Além de técnicas de importação e manipulação de dados, são demostradas a plotagem de gráfico, bem como a criação de modelos de regressão com e técnicas de avaliação de precisão.

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Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python and Jupyter Notebook for data manipulation and machine learning tasks.
Exposure to hyperparameter optimization (MOPSO_CD) and imbalance learning techniques.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. Psychometric test scores are zero, and no interview data is available.

Anderson Viana

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit