Exploration, Insight generation and Visualization of Olist E-commerce sales data using Python and POWER BI

Data analysis about Brazilian e-commerce business Olist

Data Analysis/Visualization using Python and Power BI

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Data-driven Power BI dashboard built on Olist e-commerce dataset, analyzing sales performance, customer behavior, delivery efficiency, and revenue trends using advanced DAX measures and relational data modeling.

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This is project I have analyzed dataset of Olist Ecommerce stores. I have applied PowerBI, Python, SQL Server so that transformed Data and visualize this Data

Análise de dados de e-commerce brasileiro com Python, PostgreSQL, SQL avançado e dashboard interativo no Power BI.

Performance and profitability analysis of the Olist Brazilian E-commerce dataset.

End-to-end SQL & Tableau analysis of 100,000+ Brazilian e-commerce orders - customer distribution, revenue trends, logistics performance, and seller rankings.

This project is an end-to-end data analytics case study using SQL, Tableau, and the Olist Brazilian E-Commerce dataset. The goal was to simulate a real-world business intelligence workflow — moving from raw transactional data to structured databases, analytical queries, and executive dashboards.

End-to-end Business Analysis of 100K+ real Brazilian e-commerce transactions using MySQL and Power BI

(Kaggle) Olist Ecommerce Dataset 분석

SQL + Python analysis of sales, customer behavior, and delivery performance using the Olist e-commerce dataset

End-to-end e-commerce analytics project using SQL, Python, Excel and Power BI on the Olist dataset.

Data Analysis of Brazilian E-Commerce (Olist) using Python.

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End-to-end analysis of the Olist e-commerce dataset using SQL, Python (pandas), and Power BI. Built fact tables and performed exploratory analysis to evaluate delivery performance, customer reviews, seller behavior, and pricing impact, with interactive dashboards for business insights.

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End-to-end SQL analysis of the Brazilian Olist E-commerce dataset

End-to-end customer retention analytics for a Brazilian e-commerce marketplace. Cohort analysis, churn segmentation, and funnel modeling in Python with a Looker dashboard.

End-to-end Business Intelligence project using SQL + Power BI

Analyzing Brazilian E-commerce data to uncover sales, delivery, customer, and product insights.

The Olist Store Analysis project aims to analyze customer purchasing patterns and payment statistics on an E-commerce platform, Olist.

Análise exploratória do dataset Olist integrada a indicadores macroeconômicos do Banco Central do Brasil, explorando correlações entre política monetária (Selic/IPCA) e o mercado de e-commerce.

An interactive Power BI dashboard project analyzing seller performance and segmentation on the Olist marketplace

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SQL-based end-to-end analysis of 100K+ e-commerce orders (Olist dataset), covering revenue growth, logistics performance, and RFM customer segmentation to drive business insights.