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.

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

Projeto final da disciplina Estatística I do curso Santander Coders em parceria com a AdaTech ministrada pelo professor Damodara Barbosa.

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

A Comprehensive Time Series Analysis for Dynamic Sales Forecasting

End-to-end analysis of Olist e-commerce data, including customer segmentation and testing the impact of free-shipping vouchers.

Customer segmentation & delivery performance analysis using SQL + Power BI

SDK não oficial em TypeScript para a API v2 do TinyERP (Olist)

Ecommerce Analytics Pipeline

🔷 Business Insights & Executive Report for E-Commerce Dataset 🔷 Analyzed sales, profit, delivery performance, and customer behavior across multiple Brazilian regions. Used DAX, data modeling, and visualization techniques for dynamic, interactive dashboards. Identified key growth areas, top-performing categories, and optimized payment insights.

Olist Brazil - Sales Insights and Machine Learning Predictions 📊🤖 Developed sales dashboards and machine learning models to analyze customer behavior and product performance for Olist, a Brazilian e-commerce platform. Utilized Power BI for visualization and multiple machine learning algorithms to predict customer satisfaction. 🔍📈

Esse projeto utiliza dados da Olist para importar, tratar e analisar quatro bases de dados com o Power Query no Power BI. O objetivo é fornecer insights valiosos sobre vendas e comportamento do cliente nos principais marketplaces do Brasil.

Projeto de portfólio: modelagem de banco de dados relacional MySQL a partir do dataset público Olist (Kaggle). Inclui ETL em Python, criação de MER/MMD, análises em SQL, e visualizações em Power BI/Flask.

Este projeto utiliza o Power BI para importar, tratar e analisar dados da Olist, gerando insights sobre vendas e comportamento dos consumidores a partir de quatro bases distintas.

This repository was created for my Power BI Project (Olist E-commerce Dashboard).

Olist ETL pipeline development on Microsoft Fabric, enabling delivery performance analytics reporting.

Advertiser Analytics ETL Pipeline Production-style ETL pipeline using Python, Pandas, and Pandera to clean and validate marketplace data, build advertiser fact tables, and generate daily/monthly KPI datasets. Designed to mirror real data engineering workflows used in advertising and retail-media platforms.