Chidera is a Data Analyst Proficient in using powerful and effective tools like Power Bi, Python, Excel, SQL used for everything from posing business question, Data transformation to Data Analysis to improve business strategies and decisions.
She is constantly learning, upskilling and honing her skills into projects that simulates real world experience. She would love to explore this adventure with you.
My LinkedIn ProfileI conducted an in-depth analysis of North American retail sales using Power BI to uncover key insights related to profitability, sales performance, and supply chain efficiency. Through interactive dashboards, I tracked metrics such as total sales, profit, and delivery speed, helping to identify top-performing categories and customers while optimizing delivery and return rates.
In this project, I developed a detailed dashboard for AdventureWorks, focusing on critical business metrics such as revenue, profit, orders, and return rates. I used visualizations to analyze product performance across different categories and regions, identifying trends in customer behavior and monthly sales. This report allowed me to provide insights into top-performing products and helped the company make data-driven decisions to optimize sales and increase profitability.
In this project, I scraped data using Python and developed a one-page dashboard to provide insights into car sales on the Jiji platform. The dashboard displays key metrics such as total sales, average price, and total listings. Visualizations highlight popular car brands, models, and colors, as well as sales trends by year. Although the data scraping process was not extensive, the dashboard offers a snapshot of important information that helps understand the car market on Jiji.
In this project, i posed some specific questions on "The Movie Database" dataset provided by Kaggle and made an analysis using python.
This analysis was carried out to determine the Quality of wine together with the chemical atrributes associated with it.
An exploratory analysis was carried out on a netflix movie dataset to draw conclusions to the current trend observed in the data provided.