In this project, I analyzed coffee shop sales data to understand overall business performance, customer buying behavior, peak sales periods, and store-level contribution. I used MySQL for data cleaning, KPI calculation, and trend analysis, and then built an interactive Power BI dashboard to visualize insights for decision-making.

This project analyzes Coffee Shop sales data using SQL and Power BI. The goal is to derive insights on sales performance, customer behavior, and product trends, and visualize them using interactive dashboards.

This project leverages SQL for data extraction and manipulation, combined with Power BI for visualizing and analyzing sales data. It provides actionable insights into sales trends, customer behavior, and inventory management, helping coffee shop owners make informed decisions to boost profitability and efficiency.

Data analysis project on coffee shop sales using PostgreSQL & Power BI. Includes SQL queries for data transformation and a static Power BI dashboard.

Coffee shop sales analysis using SQL and Power BI involves extracting and cleaning sales data with SQL queries, followed by creating interactive Power BI dashboards to visualize trends and insights for strategic decision-making.

The coffee shop sales data analysis project aims to provide insights into the sales performance of a coffee shop chain operating in three different locations. The project utilizes a combination of SQL, Excel, and Power BI to analyze sales data, identify trends, and make data-driven recommendations to improve business operations.

This project automates the end-to-end process of analyzing coffee shop sales data. It uses a Python script to load and clean data into MySQL, performs SQL-based analysis for KPIs, and visualizes the results in Power BI. The dashboard includes interactive visuals with 100% match between SQL results and Power BI charts.

This project focuses on analyzing sales data for a coffee shop using Snowflake SQL for data processing and Power BI for visualization.

Coffee-Shop-Sales-Analysis using Power BI & SQL

This project focuses on building an interactive Power BI dashboard to analyze coffee shop sales performance using key business metrics and advanced visualizations. The dashboard enables stakeholders to monitor sales trends, order behavior, product performance, and store-level insights through dynamic filters and slicers.

Coffee Shop Sales Analysis with SQL and Power BI

This project analyzes coffee shop sales data using MySQL for data storage and Power BI for visualization. The dashboard provides insights into revenue trends, top-selling products, customer behavior, and sales performance across different time periods.

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Exploratory analysis of coffee shop sales using SQL and Power BI

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Data analysis project focused on coffee shop sales using SQL for data extraction and Power BI for visualization.

Built an interactive sales dashboard using Power BI with DAX measures & used SQL and CTEs for data cleaning and transformation, and Power Query for data shaping. Demonstrated skills in data modeling, trend analysis, and business-focused storytelling through visual insights.

End-to-End SQL and power BI project for coffee shop sales analysis

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SQL & Power BI analysis of coffee shop sales data using a star schema model

A data analysis project exploring sales trends for a coffee shop using SQL. and POWER BI

Coffee shop sales analysis using Excel, SQL, and Power BI with interactive dashboard and business insights.

Coffee Shop Sales Analysis using SQL and Power BI to explore sales trends, product performance, and business insights through an interactive dashboard.

Data analysis of a coffee shop chain’s sales performance, customer behavior, and product trends using SQL and Power BI.

Coffee Shop Sales Dashboard built with MySQL for data analysis and Power BI for visualization. Showcasing SQL queries, data modeling, and interactive BI reporting.