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jooaobrum/README.md

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:

  • Linkedin Badge
  • Hotmail Badge

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

Visitors

visitors

Popular repositories Loading

  1. marketing_campaign_CRM_case marketing_campaign_CRM_case Public

    [Portfolio Project] This is a repository used for the Data Advanced Analytics business case about marketing CRM.

    Jupyter Notebook 2

  2. databricks-ml-lakehouse databricks-ml-lakehouse Public

    Project to study the Databricks platform, building a complete end-to-end system.

    Python 2

  3. match-best-candidates match-best-candidates Public

    Repositório com os arquivos de um recomendador de aplicantes para vagas, com a utilização de NLP

    Jupyter Notebook 1

  4. rossmann-stores-sales-prediction rossmann-stores-sales-prediction Public

    [Portfolio Project] This repository is related to a project of Rossmann Stores which I forecast how much money each store will sell in the next 6 weeks.

    Jupyter Notebook 1

  5. power-wind-forecasting power-wind-forecasting Public

    [Portfolio Project] This repository contains all the information for forecasting the power generated from a windmill using Machine Learning.

    Jupyter Notebook 1

  6. COVID-19-Predictions COVID-19-Predictions Public

    Predictions for COVID-19 disease. Just a mathematical regression implementation. It DOES NOT consider models.

    Jupyter Notebook