brunalimap / project_house_rocket Goto Github PK

• 👩🏻‍🎓 Graduated Biomedical Engineer
• 📊 Future Data Science
• 📖 Professional Lifelong learning
• 👩🏻‍💻 Enthusiastic about developing projects that help solve business problems.

• Predict Sales Rossmann Stores [Completed ✔️]

  In this project I developed a machine learning model capable of making a sales prediction for the next 6 weeks for the pharmaceutical company Rossmann. To access model predictions, you can use the Rossmann bot (Link below).

  ➡️ Rossmann bot

• Analytics House Rocket [Completed ✔️]

  The objective of this project is to demonstrate the some insights of a dataset for a fictitious company in the field of real houses sales.

  ➡️ Streamlit app

• Prioritizing customers for car insurance sales (Ongoing)

  This project aims to develop a machine learning model capable of predicting the customer's interest in purchasing auto insurance so that sales are optimized.

• Curso Python do DS ao DEV

• Bootcamp Engenheiro de Dados

• Course of HTML5 e CSS3

• Course Power BI 2.0

  • skills: DAX, Language M, Storytelling

• Curso Python do ZERO ao DS [Completed ✔️]

The purpose of this course is to perform various analysis of a dataset for the CEO of a fictional company called House Rocket.

• skills: Functions, Pandas, Numpy, Streamlit,Seaborn and Maps

• Aceleradev - Data Science [Completed ✔️]

Solutions to the challenges proposed during the Aceleradev Data Science course.

• skills: Pandas, Numpy, Ploty, Seaborn and Machine Learning

• Data Collect and Storage: SQL, MySQL and Postgres.
• Data Processing and Analysis: Python.
• Development: Git, Scrum, Kanban, Lean Analytics and Linux.
• Data Vizualization: Power BI, Google Data Studio and Tableau.
• Tools ETL: Pentaho.
• Machine Learning Modeling: Classification, Regression, Clustering, Time Series and NLP.
• Machine Learning Deployment: Heroku, IBM Cloud.