The goal of the project is to analyze the sales of data of a coffee cafe, a company
that has been selling product online and then recommend the top three major cities
for the opening of new physical coffee shop locations based on consumer
demand and sales performance.
This project focuses on cleaning and preparing raw sales data using SQL. Tasks include handling missing values, removing duplicates, standardizing formats, and ensuring data consistency for analysis.
This Power BI project explores sales performance data from a fictional Superstore to uncover actionable business insights. Using interactive visualizations, the dashboard highlights key metrics such as sales, profit, discount trends, customer segments, and regional performance.
This Excel project focuses on analyzing a bike store’s sales data through data cleaning, pivot tables, and dashboard visualization. The goal is to transform raw data into clear, actionable insights that support business decisions and showcase Excel data analytics skills.