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"A mente que se abre a uma nova ideia jamais voltará ao seu tamanho original" 😉

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Engenheira de dados com foco nos processos de coleta, estruturação e pré-processamento de dados, além do desenvolvimento de modelos analíticos (preditivos e descritivos) e demais processos que apoiem a squad de dados na evolução dos produtos e serviços.

Data engineer with a focus on data collection, structuring and pre-processing processes, in addition to the development of analytical models (predictive and descriptive) and other processes that support the data squad in the evolution of products and services.


🚀 Linguagens e Ferramentas:

💻 Uso diário:

Python PostgreSQL Linux Git Github VS Code

🎲 Ciência de dados:

Pandas Numpy Scikit Learn Jupyter Plotly

⚙️ Engenharia de dados:

Pyspark Databricks Hadoop Airflow AWS Microsoft Azure Docker

📚 Tenho conhecimento básico:

Jenkins MongoDB Heroku Power BI Tableau R

🌱 Estou aprendendo:

Elasticsearch Kibana Terraform Apache Kafka


📈 Estatísticas:



⚡ Principais Repositórios:

Karinne Cristina's Projects

data_science icon data_science

Portfólio com análises e projetos de Data Science em Python

gcp icon gcp

Curso de cloud - provider GCP

mdrepo icon mdrepo

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

mentoria icon mentoria

Repositório contendo materiais referentes às mentorias ministradas pela comunidade Engenharia de Dados Brasil

python_financas icon python_financas

Python para Finanças: Investimentos & Análise de Dados - https://www.udemy.com/course/python-para-financas-investimentos-analise-de-dados/

sql_data_analysis icon sql_data_analysis

Consultas a Banco de Dados utilizando linguagem SQL, do Básico ao Avançado.

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