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Valdênio Martinho Pereira

Valdênio Martinho Pereira

Data Scientist

https://talent.gravityer.com/valdenio-martinho-pereira

valdeniomartinho

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Valdênio Martinho Pereira | Gravity Talent Portal

Belo HorizonteMember since June 30, 2026

https://talent.gravityer.com/valdenio-martinho-pereira

Top Skills

JavaScriptCSSHTMLPythonC++CythonJupyter Notebook

Skills

JavaScriptCSSHTMLPythonC++CythonJupyter Notebook

Experience

valdeniomartinho

Data Scientist

June 30, 2026 – Present

Projects

imersao-dados-python-alura-deploy

January 30, 2026 – Present

imersao-dados-python-alura-deploy — GitHub repository

imersao-dados-com-python-alura

January 28, 2026 – Present

imersao-dados-com-python-alura — GitHub repository

python3-mundo-4-POO

December 17, 2025 – Present

python3-mundo-4-POO — GitHub repository

python-do-basico-a-aplicacoes-de-IA-DSA

September 2, 2025 – October 1, 2025

python-do-basico-a-aplicacoes-de-IA-DSA — GitHub repository

ETL-end-to-end-com-Python

May 7, 2025 – May 8, 2025

ETL-end-to-end-com-Python — GitHub repository

powerBI-mini-curso

April 22, 2025 – April 24, 2025

powerBI-mini-curso — GitHub repository

desafio-datadriven-futebol

March 21, 2025 – March 29, 2025

desafio-datadriven-futebol — GitHub repository

curso-formulas-dax

March 2, 2025 – March 5, 2025

curso-formulas-dax — GitHub repository

General-Structure

August 28, 2023 – August 29, 2023

General-Structure — GitHub repository

FullStack

July 19, 2023 – January 21, 2024

Revisão de conteúdo: Fundamentos, Front-end, Back-end e Ciência de Dados

Key Strengths

Demonstrated interest in Data Science through personal projects.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebook for data analysis and presentation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-learning and exploration in data science and related fields. The diversity of projects, including ETL, AI applications, and data visualization (PowerBI), suggests a proactive and curious mindset. However, the lack of team-based projects or contributions makes it difficult to assess collaboration and broader cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.