Ecommerce Sales Dashboard - Power BI Project

Power BI dashboard for Amazon sales analysis with dummy data, demonstrating data cleaning, DAX calculations, and visualization to uncover key sales trends and product insights.

Superstore Sales Dashboard - Power BI Project

Explore pizza sales trends via SQL analysis and dynamic Power BI dashboards. Discover daily/monthly insights, category-based sales, and top-selling pizzas by revenue and quantity.

Coupon Usage Predictive Analytics — An end‑to‑end data science and business intelligence project analyzing Nigerian retail and e‑commerce coupon redemption. This repository demonstrates the full workflow: Phase 1: Data analysis using Excel, MySQL, and Python Phase 2: Predictive modeling with Logistic Regression, Decision Tree, and Random Forest.

An interactive Financial Risk & Fraud Detection Dashboard built in Microsoft Power BI to analyze financial transactions, detect suspicious patterns, and provide executives with a real-time overview of fraud risk.

End-to-end Power BI data analytics portfolio including 6 labs covering semantic modelling, DAX calculations, report design, and dashboard creation. Includes data modelling best practices, fiscal time intelligence, many-to-many relationships, performance analysis, and interactive dashboards built using AdventureWorks datasets.

☕ This project aims to analyze the sales performance of a coffee shop using SQL for data extraction and Power BI for visualization. The analysis focuses on understanding 📈 sales trends, 📋 order patterns, and 📦 quantity sold over time, along with specific insights into 📍 store locations, 🛍️ product categories, and 📅 day-wise performance.

Power BI dashboard analyzing ecommerce sales performance

An interactive Power BI project designed to help executives, procurement, logistics, finance, and risk teams monitor supply chain risks, delays, and cost impacts while enabling scenario planning for resilience.

A Power BI project designed to provide executives, managers, and analysts with a consolidated view of enterprise financial and operational KPIs. The dashboard integrates multiple business domains—finance, sales, operations, inventory, and customers—into an interactive reporting solution for data-driven decision-making.

This project is focused on evaluating vendor effectiveness. An ETL pipeline is employed to load large dataset, data integrity has been ensured by cleaning values and generating new financial metrics and statistical methods like quadrant analysis and hypothesis testing are used to generate insights.