MURAINA Nurudeen

Power BI dashboard analyzing retail sales performance, discount impact & customer behavior | EasyTech Talent May 2026 | Revenue trends, category analysis & payment insights across 3,660 transactions

# UEFA Champions League Finals Dashboard (1957–2025) ## Overview An interactive Power BI dashboard analysing 70 UEFA Champions League finals across two pages — Club Stats & Records and Club Performance.

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On June 1st, 2025, renowned art collector Roland Greene was found dead in his private estate's Vault Room. A gunshot was heard at 8:00 PM. This report uses SQL analysis of digital forensics to identify the murderer among 30 guests.

This repository contains a cleaned Nigerian banking customer dataset developed by Wilogistics. The data was transformed from deliberately dirty records using Power Query and includes demographic and financial attributes, supporting customer profiling, segmentation, fraud detection, and business intelligence analysis.

The Student Management System (SMS) is a relational database developed to efficiently manage, organize, and maintain academic and administrative data within a university environment. The system centralizes information related to students, departments, courses, instructors, and enrollments, enabling seamless data management and retrieval.

This analysis provides a detailed overview of the process of cleaning, transforming, and analyzing Netflix Movies and TV Shows data using Power Query and Power BI. The primary objective is to improve data quality, prepare the dataset for analysis, and generate meaningful insights that can be visualized through interactive dashboards.

This document provides a comprehensive, step-by-step guide to prepare the 'Skin Care Target' dataset in Microsoft Power BI using Data Analysis Expressions (DAX). The goal is to create calculated columns, and derive meaningful business metrics for effective analysis and reporting.

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Data cleaning

Interactive sales analytics dashboard for Synthetic Beverages, featuring visualizations on product performance, customer segmentation, regional trends, and monthly sales. Built for strategic decision-making and data storytelling in the beverage industry.

This project uses R for time series forecasting of 1,827 daily import/export records. It covers preprocessing, decomposition, ARIMA modeling, diagnostics (ADF & Ljung-Box tests), and a 180-day forecast. Tools: tidyverse, forecast, fable. Built for real-world business insight.