Project – Roy AI Insights

Project Gallery

A collection of data-driven projects showcasing insights and analysis across leading industries and platforms. From retail giants and e-commerce to entertainment, food, and technology — each project uses advanced analytics tools like Power BI, Excel, SQL, and Python to reveal trends, drive decisions, and tell clear stories through data.

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Walmart Sales & Marketing Analytics

This analysis explores Walmart’s sales, marketing, and customer trends, focusing on product performance, promotions, and demand forecasting to optimize business growth.

Customer Churn Analysis & Insights

This analysis uncovers customer churn trends using Azure SQL & Power BI, focusing on retention drivers, subscription patterns, and revenue impact to enhance customer loyalty.

Avocado Market Analysis

This analysis uncovers pricing trends, consumer preferences, and regional dynamics, providing actionable insights to inform strategic decision-making.

Divorce Analysis: Key Factors & Insights

This analysis examines financial, educational, and demographic influences on divorce. It uncovers key trends, risk factors, and stability patterns using data analysis and machine learning.

Spotify Listening Trends Analysis

This analysis delves into Spotify Albums Data, offering valuable insights into user engagement, album popularity, and listening trends over time

SQL Sales and Customer Insights Analysis

This project leverages SQL to analyze sales, customers, and products, uncovering key insights, trends, and performance patterns for data-driven decisions.

Netflix Streaming Insights: A Comprehensive Data Analysis

This project aims to analyze Netflix’s content catalog to uncover key insights into content distribution, genre trends, country contributions, and viewing patterns.

Toman Bike Share Revenue Analysis

This analysis aims to examine Toman Bike Share’s data to uncover usage patterns, peak hours, and seasonal revenue fluctuations, enabling data-driven pricing strategies and improved operational decisions.

Sales Performance & Growth Insights Analysis

This analysis explores sales performance, revenue trends, and profitability across regions and discount strategies. By tracking YoY growth, discount impact, and seasonal revenue shifts, it helps businesses make data-driven decisions to optimize pricing and improve sales strategies.

Amazon Sales Performance Analysis

The goal of this project is to analyze Amazon sales data to uncover key insights into sales performance, customer behavior, and operational efficiency. Statistical methods were applied to identify trends, correlations, and key factors influencing sales outcomes.

Synthetic Beverage Sales Data Analysis

The goal of this project is to analyze large-scale sales data to uncover key insights into revenue trends, customer behavior, and regional performance. Using big data techniques and advanced SQL, it highlights patterns that support smarter business decisions.

Adventure Works Sales Performance Analysis

This project focuses on analyzing sales data to uncover trends in revenue, profit, and customer behavior. By using Power Query, Power Pivot, and DAX, the analysis highlights monthly, quarterly, and yearly performance, helping identify top products, key markets, and patterns that drive smarter business decisions.

Email

roylee7493@gmail.com

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02108087493