Rodrigo Braga

Data Scientist

https://talent.gravityer.com/rodrigo-braga

São Paulo, São Paulo, BrazilMember since June 24, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'mlpilots' and 'imersao_alura_genai'.
Experience with Python, a core language for Data Science, as seen in 'royal-streamlit', 'graphio', and 'ibm-qc2021'.
Familiarity with Jupyter Notebook, a common tool for data exploration and model development.
Exposure to graph databases ('graphio' with JanusGraph) which can be relevant for complex data relationships.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, from web crawlers to quantum computing challenges, indicates a broad curiosity. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural alignment.

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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Projects

imersao_alura_genai

May 12, 2024 – May 12, 2024

Projeto de conclusão da 2a imersão da Alura sobre GenAI.

View Project

startup-crawler

September 23, 2023 – September 26, 2023

A Python crawler to fetch startup data

View Project

skills-copilot-codespaces-vscode

July 25, 2023 – October 1, 2023

MS Learn exercise

View Project

royal-streamlit

July 22, 2023 – July 23, 2023

A Streamlit graph explorar of British Royal Family relationships

View Project

graphio

December 30, 2021 – December 31, 2021

Python Graph API based on JanusGraph.

View Project

ibm-qc2021

May 26, 2021 – May 26, 2021

IBM Quantum Challenge 2021 Ed.

View Project

mlpilots

May 5, 2018 – May 5, 2018

Código com pilotos de Machine Learning.

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'mlpilots' and 'imersao_alura_genai'.
Experience with Python, a core language for Data Science, as seen in 'royal-streamlit', 'graphio', and 'ibm-qc2021'.
Familiarity with Jupyter Notebook, a common tool for data exploration and model development.
Exposure to graph databases ('graphio' with JanusGraph) which can be relevant for complex data relationships.

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.

Rodrigo Braga

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit