Help & Supportcareers@gravityer.com

João Pedro Ramires Esteves | Gravity Talent Portal

João Pedro Ramires Esteves

João Pedro Ramires Esteves

Data Scientist

https://talent.gravityer.com/joao-pedro-ramires-esteves

🦥 Learner | MSc Computer Science @ UFU

Brazil

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Member since June 30, 2026

https://talent.gravityer.com/joao-pedro-ramires-esteves

Top Skills

PythonJavaJupyter NotebookTeXSveltetypescriptJavaScriptCSSHTMLElixir

Skills

PythonJavaJupyter NotebookTeXSveltetypescriptJavaScriptCSSHTMLElixir

Projects

projeto-final-pgc-308a-internet-do-futuro

June 30, 2026 – Present

Projeto Final da disciplina PGC308A Internet do Futuro, no contexto do PPGCO/UFU

projeto-final-pgc-201-mineracao-de-dados

June 17, 2026 – Present

Projeto Final da disciplina PGC201 Mineração de Dados, no contexto do PPGCO/UFU.

tcc

April 24, 2025 – May 6, 2025

Trabalho de Conclusão de Curso para o Grau de Bacharelado em Ciências da Computação

anon

February 12, 2025 – September 18, 2025

Ferramenta de Anonimização de Tickets de Segurança.

tcc-byzcast

July 7, 2024 – November 10, 2024

tcc-byzcast — GitHub repository

projeto-esof

September 8, 2023 – September 24, 2023

projeto-esof — GitHub repository

IA_trabalho1

April 29, 2023 – May 16, 2023

primeiro trabalho da disciplina de Inteligencia artificial

nlw4

February 22, 2021 – February 28, 2021

:rocket: minha terceira nlw, dessa vez na trilha do Elixir :droplet: implementando uma API simples de pagamentos

nlw3

October 12, 2020 – October 21, 2020

:rocket: minha segunda NLW - dessa vez na trilha OmniStack

nlw2

August 16, 2020 – October 13, 2020

:rocket: minha primeira nlw!

Key Strengths

Exposure to Python, a core language for Data Science.
Experience with Jupyter Notebook, a common tool in data science workflows.
Demonstrated interest in AI and Data Mining through academic projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily academic and personal, showing initiative in learning various technologies. However, the diversity of technologies (Elixir, Svelte, TypeScript, Java, HTML/CSS/JS) suggests a broad interest rather than a focused deep dive into Data Science specific tools beyond Python and Jupyter Notebook. This breadth might indicate adaptability but also a lack of specialized focus for a senior Data Scientist role.

Soft Skills & Operational Fit

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