Fernanda Scovino

Data Scientist

https://talent.gravityer.com/fernanda-scovino

IA Product Manager @prefeitura-rio | Co-founder @basedosdados

prefeitura-rio

Key Strengths

Extensive experience with Python for data-related projects.
Demonstrated ability to work with data pipelines and data lake management.
Proficiency in Jupyter Notebook for data analysis and simulation.
Experience with DBT for data publication, indicating data modeling understanding.
Background in data science roles, aligning with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and focused on public sector data (Prefeitura do Rio de Janeiro), indicating a strong interest in civic tech and data for public good. This aligns well with roles that value social impact and open data initiatives. However, the lack of diverse project types or team-based projects makes it difficult to fully assess broader cultural fit beyond this specific domain.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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

pipelines

April 19, 2022 – Present

Gerenciador de fluxos de captura e subida de dados no datalake da Prefeitura do Rio de Janeiro | https://docs.dados.rio/guia-desenvolvedores/pipelines/

View Project

queries-rj-smtr

March 3, 2022 – Present

Repositório de queries da Secretaria de Transportes do Rio de Janeiro (SMTR)

View Project

smtr-desafio-engenharia-dados

December 7, 2021 – December 9, 2021

Desafio para vaga de Engenharia de Dados na SMTR.

View Project

queries-datario

December 6, 2021 – August 26, 2024

Modelos do DBT utilizados para publicação de dados da PCRJ

View Project

SimulaCovid

March 21, 2020 – March 30, 2020

Simulação do COVID-19 nos municípios brasileiros | Brazilian municipalities COVID-19 simuation

View Project

tcc_emap

October 10, 2019 – June 21, 2022

🎓Predicting high school dropout on Rio de Janeiro state public schools

View Project

codabr_2018

November 10, 2018 – June 22, 2020

Resumo dos workshops do CODA.Br 2018

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project-templates

September 3, 2018 – August 17, 2020

Fast Project Templates

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rede-interesses-aborto

June 4, 2018 – June 28, 2018

♀ Brazilian parliament's network of interest on abortion

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pypixplorer

January 16, 2017 – February 6, 2017

Explore PYPI's collection of packages in unusual ways

View Project

Key Strengths

Extensive experience with Python for data-related projects.
Demonstrated ability to work with data pipelines and data lake management.
Proficiency in Jupyter Notebook for data analysis and simulation.
Experience with DBT for data publication, indicating data modeling understanding.
Background in data science roles, aligning with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Fernanda Scovino

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit