Cláudio Capanema

Data Scientist

https://talent.gravityer.com/claudio-capanema

Phd student in computer science at the Federal University of Minas Gerais and visiting researcher at the State University of Campinas, Brazil

Member since June 28, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'FL-H.IAAC', 'fedpredict', and 'Multi-model-Federated-Learning'.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, a common tool for data exploration and model development.
Exposure to concepts like Federated Learning and Graph Neural Networks (GNNs) indicates an interest in advanced ML topics.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing on research-oriented topics. While this demonstrates initiative and a passion for learning, there is insufficient data to assess collaboration experience, adaptability to diverse team environments, or alignment with specific company culture beyond technical interest. The lack of professional experience or team projects makes it difficult to gauge cultural fit for a senior role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

hugging

February 13, 2025 – Present

hugging — GitHub repository

View Project

FL-HIAAC_docker

February 8, 2025 – October 18, 2025

FL-HIAAC_docker — GitHub repository

View Project

Multi-model-Federated-Learning

April 30, 2024 – Present

Multi-model-Federated-Learning — GitHub repository

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fedpredict

February 8, 2024 – Present

fedpredict — GitHub repository

View Project

mat_dis

October 22, 2022 – October 23, 2022

mat_dis — GitHub repository

View Project

pro_unic

October 18, 2022 – October 23, 2022

pro_unic — GitHub repository

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FL-H.IAAC

September 26, 2022 – April 16, 2024

FL-H.IAAC — GitHub repository

View Project

gnn_research

August 26, 2022 – August 27, 2022

gnn_research — GitHub repository

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poi_gnn

August 25, 2021 – June 1, 2023

poi_gnn — GitHub repository

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visualizacao_covid

June 26, 2021 – August 17, 2021

Visualização de dados do COVID

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'FL-H.IAAC', 'fedpredict', and 'Multi-model-Federated-Learning'.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, a common tool for data exploration and model development.
Exposure to concepts like Federated Learning and Graph Neural Networks (GNNs) indicates an interest in advanced ML topics.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Cláudio Capanema

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit