Bruno Ferreira

Data Scientist

https://talent.gravityer.com/bruno-ferreira-3

Front-end dev, focused on JS technologies. Love to learn new things every day.

Member since June 29, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning Engineering through projects like 'pos_tech_mle_fase_4' and 'pos_tech_mle_fase_5'.
Proficiency in Python, a core language for Data Science.
Experience with Docker and Makefile, indicating understanding of deployment and automation.
Exposure to Jupyter Notebooks for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse interest in various technologies beyond Data Science (e.g., TypeScript, JavaScript, Kotlin), which could indicate adaptability. However, the lack of detailed project descriptions makes it difficult to fully assess alignment with a collaborative or specific organizational culture. The focus on personal GitHub repositories suggests self-driven learning and initiative.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

rag

June 6, 2026 – Present

rag — GitHub repository

View Project

adpt-flashcards

May 23, 2026 – Present

adpt-flashcards — GitHub repository

View Project

noiseless-app

April 18, 2026 – Present

noiseless-app — GitHub repository

View Project

noiseless-server

March 19, 2026 – Present

noiseless-server — GitHub repository

View Project

pos_tech_mle_fase_5

February 17, 2026 – Present

pos_tech_mle_fase_5 — GitHub repository

View Project

pos_tech_mle_fase_4

November 22, 2025 – Present

pos_tech_mle_fase_4 — GitHub repository

View Project

DesafiosCode

September 22, 2025 – September 22, 2025

DesafiosCode — GitHub repository

View Project

Perkus

September 3, 2025 – September 3, 2025

Perkus — GitHub repository

View Project

tech-challenge-embrapa

April 19, 2025 – June 3, 2025

tech-challenge-embrapa — GitHub repository

View Project

silapay-backend

March 11, 2025 – March 11, 2025

silapay-backend — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning Engineering through projects like 'pos_tech_mle_fase_4' and 'pos_tech_mle_fase_5'.
Proficiency in Python, a core language for Data Science.
Experience with Docker and Makefile, indicating understanding of deployment and automation.
Exposure to Jupyter Notebooks for data exploration and model development.

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.

Bruno Ferreira

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit