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Beatriz Maia

Beatriz Maia

Data Scientist

https://talent.gravityer.com/beatriz-maia

Data Analyst | Tech Creator at @ai-inclusive 🎲♥

São Paulo, Brasil

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Beatriz Maia | Gravity Talent Portal

Member since June 23, 2026

https://talent.gravityer.com/beatriz-maia

Top Skills

Jupyter Notebook

Skills

Jupyter Notebook

Projects

contents-created-by-me

July 30, 2021 – January 30, 2024

In this repository will be all the contents created by me such as articles, presentations, videos, and more.

analise-exploratoria-de-dados

July 1, 2021 – July 28, 2021

analise-exploratoria-de-dados — repository

build-your-data-science-portfolio

April 19, 2021 – May 1, 2021

Using GitHub to build your Data Science portfolio - Resources

data-analyst-path

March 24, 2021 – May 19, 2021

Esse repositório é destinado à documentar a trilha de estudos de Beatriz Maia e Marina Borges pelos cursos da plataforma do Dataquest.

estatistica-data-science

November 9, 2020 – November 9, 2020

Códigos associado ao livro "Estatísticas Práticas para Cientistas de Dados: 50 Conceitos Essenciais"

JupyterCon-2020

October 11, 2020 – October 11, 2020

Project presented during the Lightning Talk presentation at JupyterCon 2020

beatrizmaiads

September 30, 2020 – October 10, 2024

beatrizmaiads — repository

deep-learning-coursera

July 18, 2020 – November 13, 2020

Repositório destinado a apresentar meus projetos de deep learning

analise-de-dados-airbnb

June 9, 2020 – July 1, 2020

Análise de dados da plataforma Airbnb

data-science-projects

June 4, 2020 – November 13, 2020

Notebooks de projetos de Data Science em Python

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Jupyter Notebook for data analysis and deep learning projects.
Exposure to exploratory data analysis and statistical concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing on learning and exploration within Data Science. This indicates a self-driven learner, which can be a positive cultural fit for roles valuing continuous improvement. However, the lack of team-based or professional projects limits the assessment of collaboration and real-world application in a team setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed test results.