Projects
NIGERIAN CAR MARKET
The Nigerian Car Market Dashboard visualizes key automotive metrics including brand performance, market share, and consumer trends through interactive visuals for strategic market analysis.
Coffee Sales Dashboard
Interactive Power BI dashboard for analyzing coffee sales performance, trends, and category distributions with a clean, visual design.
Smartwatch Performance Tracker
Smartwatch Performance Tracker Dashboard visualizes smartwatch sales data, allowing you to track sales performance in real-time. By analyzing sales trends with various metrics and charts, it helps you make strategic decisions and discover growth opportunities.
CAR SALES DASHBOARD
The Sales Dashboard (Power BI) visualizes sales data for real-time analysis. Key metrics like sales targets, revenue, product performance, and customer count are displayed through impactful visuals, supporting decision-making for improved sales strategies.
GLOBAL SUPERSTORE PROJECT
The Global Superstore Project is a project where we used Power BI to analyze and visualize sales data of a retail store. The goal was to identify sales trends, customer behaviors, and popular products to support business decisions!
WASHINGTON D.C. CRIMES
The Washington D.C. Crime Power BI Dashboard visualizes crime data by type, location, and time, providing insights to enhance security strategies.
TITANIC PASSENGER ANALYSIS
The Titanic Passenger Analysis (Power BI) project visualizes key passenger data, such as age, class, gender, and survival rates. It provides insights into the factors influencing survival and helps in understanding passenger demographics during the tragic Titanic disaster.
LAPTOP PRICE
Laptop Price Analysis Project: In this project, Python was used to analyze laptop price data. Data cleaning and outlier detection were performed. The data was processed with libraries like pandas and numpy, and visualizations were created using tools like matplotlib and seaborn. The results were visualized to provide a better understanding of laptop prices.
SUPERMARKET SALES ANALYSIS
In this Python project, I performed data cleaning, outlier detection, and exploratory data analysis (EDA) on supermarket sales data. Using libraries like Pandas, Seaborn, and Matplotlib, key insights such as sales trends, payment methods, and customer segments were visualized effectively.
