Olist Open Source Projects

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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

🔷 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.

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

Ecommerce Analytics Pipeline

Customer segmentation & delivery performance analysis using SQL + Power BI

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

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.

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.

📊 Build an ETL pipeline to transform raw marketplace data into structured analytics-ready advertiser KPIs using Python and Pandas.

Pipeline de Engenharia de Dados End-to-End (ETL) analisando o E-commerce Olist com Python, PostgreSQL e Pandas.

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

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.

Demo Business Intelligence Project

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

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

Pipeline de Engenharia de Dados completo utilizando PySpark e GCP (Dataproc, BigQuery) com Arquitetura de Medalhão, orquestração no Airflow e Testes Unitários automatizados.

Segmentation de la clientèle de Olist.

Insight from olist corporate analysis

Análise do dataset da Olist

End-to-end KPI analysis of Olist e-commerce data using SQL, Python, and Power BI.

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