Olist Open Source Projects

Data analysis about Brazilian e-commerce business Olist

In this analysis, our group looked at data from the years 2016-2018 of 100,000 orders placed on the Brazilian eCommerce platform, Olist. We used the Random Forest machine learning algorithm to create a web app that predicts customer review scores using the most highly correlated features from the data as user inputs.

Repository from the project "Genius" created at the Megahack 2.0 Hackaton by shawee

This analysis is the project of the Platzi Master Cohort 10 BI group. We will use the data published by Olist , in which we will answer how the socio-economic context of Brazil influences the purchase of products online.

SQL queries from a Kaggle notebook I wrote to showcase some of the capabilities of SQL for data analysis.

Project developed for the course Data Mining at UFSC

Analysis of around 100.000 orders from a Brazilian online store

Final Data Science group project for Henry Bootcamp. Developed data solutions for Olist, an ecommerce brazilian startup, including a Dashboard in PowerBI, a forecasting model deployed on Streamlit and a web app for remote access.

onShop API

To analyze an Olist dataset from multiple dimensions: from orders, customers, sellers, products, payment, price, geological location ,customer’s reviews and provide business Insights

Análise do dataset da Olist

Insight from olist corporate analysis

A Comprehensive Time Series Analysis for Dynamic Sales Forecasting

Segmentation de la clientèle de Olist.