The Coffee Shop Sales Project incorporates 2 major skills - SQL and Power-BI to retrieve relevant data from the a large database using SQL, and visualize the data with the help of Power BI as per the KPIs and necessary business requirements.

This project provides an in-depth analysis of coffee sales data using SQL to extract insights on sales performance, customer trends, and product preferences. The analysis includes key metrics such as total sales, regional sales distribution, and customer behavior.

The Monday Coffee Expansion Analysis project utilizes SQL to analyze sales data and identify the top three cities in India for opening new coffee shop locations. By leveraging database queries, the project provides data-driven insights to support business expansion decisions. This analysis helps increase profitability for Monday Coffee. 🚀

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"Coffee shop sales analysis in Ankara. SQL, Tableau, Python, Data Analytics"

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Creating a coffee sales analysis dashboard with Power BI and SQL, including data cleaning, KPI tracking, and interactive visualisations.

An end-to-end SQL analysis of 149,000+ coffee shop transactions across 3 store locations --> uncovering sales trends, peak hours, top products, and month-over-month performance.

This project analyzes coffee shop sales data using SQL to uncover key business insights. It explores revenue trends, customer behavior, product performance, and store-level comparisons. The findings help optimize operations, improve decision-making, and support data-driven growth strategies

Coffee Sales Analysis Using SQL

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SQL project analyzing coffee sales, customer behavior, and city-level market insights using advanced queries and CTEs

Business focused SQL analysis of coffee retail sales data to identify revenue trends, top products, and high potential markets.

A comprehensive SQL-based data analysis project investigating coffee shop transactions to identify sales trends, peak hours, and product performance using advanced SQL queries and data visualization

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 uses SQL to uncover key insights from coffee sales data—like top-selling products, total revenue, and customer behavior. A quick dive into how data can drive smarter decisions.

This project involves Analyzed coffee shop sales data (100,000+ rows) using SQL. it involves cleaning and analyzing . It includes date and time formatting, column renaming, KPI calculations (sales, orders, quantity), month-over-month trend analysis, and breakdowns by date, time, location, and product using SQL aggregate and window functions.

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I built this project with the help of YouTube tutorials to enhance my skills in data analysis and visualization.

This project analyzes Coffee Sales Performance in NYC using SQL queries to uncover key business insights.

Monday Coffee Sales – SQL Data Analysis project analyzes sales data for a fictional coffee business across multiple cities using SQL Server. The goal is to derive business insights such as consumer behavior, product performance, revenue trends, and market potential from relational tables (city, customers, products, sales).

SQL project

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Coffee sales analysis using SQL for Data Cleaning, Transformation and Table Aggregation and Excel, later Tableau and PowerBI for Dashboarding

SQL project analyzing coffee shop sales with KPIs, trends, and business insights and power bi visualization

Interactive Coffee Shop Sales Dashboard built with SQL & Power BI

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.