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customer-churn's Introduction

About me & Contact

Personal life

My name is João Paulo Sales Brum, I was born in Santiago - RS, Brazil and I'm actually 26 years old. I am a data science enthusiast and currently I am based in France. Also, in my free time, i like to play sports, go out with friends and travel the world .

Professional career

Data Scientist/Analyst with 3 years of experience in the data domain and holds a Bachelor's degree in Engineering from Universidade Federal de Santa Maria (Brazil) and a Master's degree in Data and Economics from Université Grenoble Alpes (France). With a strong educational background in Python, R, and SQL, demonstrates proficiency in data visualization, statistical modeling, machine learning, and MLOps. In addition, he collaborates effectively with professionals from diverse backgrounds worldwide and is highly skilled at promoting data-driven solutions to complex business challenges while collaborating with stakeholders.

Currently working as Data Scientist.

My solutions so far include: Regression, Classifications, ETL, Cloud and Software Engineering.

The tools that I have experience are: Scikit-learn, Tensorflow, Spark, Tableau, PowerBI, Spotfire, Databricks and AWS cloud.

Projects Portfolio
https://medium.com/@indatawetrust.idwt

Contact:

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Main Projects:

Analysis & Insights Storytelling

[PT-BR] Alavancando Insights de Campanhas de Marketing - Parte 1

[EN-US] Leveraging Marketing Campaign Insights — Part 1

Repository: https://github.com/jooaobrum/marketing_campaign_CRM_case / Notebook: crm_ifood_data_analysis.ipynb

Clustering Storytelling

[PT-BR] Aprimorando a Estratégia de Marketing com Ciência de Dados: Priorizando Clientes e Entregando o que Eles Querem Comprar — Parte 2

[EN-US] Enhancing Marketing Strategy with Data Science: Prioritizing Customers and Delivering What They Want to Buy — Part 2

Repository: https://github.com/jooaobrum/marketing_campaign_CRM_case / Notebook: crm_ifood_clustering_exploration.ipynb

Modeling Customer Propensity

Repository: https://github.com/jooaobrum/marketing_campaign_CRM_case / Notebook: crm_ifood_propensity_exploration.ipynb

Some Statistics

Experienced Tools

Python

My SQL

Tableau

AWS

Pandas

Numpy

scikit-learn

statsmodels

Matplotlib

Seaborn

Flask

Streamlit

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