Learn data visualization through Tableau 2020 and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks. This Course on Udemy

The Supermarket Sales Dashboard offers a concise overview of sales performance, featuring key metrics and detailed analyses by product, category, and time period. Interactive filters enable data-driven decisions to improve profitability and efficiency.

This repository contains the code and data for analyzing pizza sales using SQL Server as the data store and Power BI for data visualization and analysis. Explore sales trends, customer preferences, and more to gain insights into pizza sales using this repository.

Marketing analysis using Python and Pandas to analyse sales trends, customer behaviour, and product performance for data-driven decision-making.

A comprehensive data modeling and analysis project for the 🌍Global Super Store, focusing on database design 🗃️, sales data analysis 📊, and interactive visualizations 📍 using MySQL 🖥️ and Tableau 📈.

This Power BI dashboard provides a detailed view of sales trends, customer performance, and product category insights. It enables sales teams and business analysts to track key sales metrics and optimize strategies based on data-driven insights.

A project analyzing coffee shop sales using Excel, including data cleaning, visualization, and insights for better decision-making.

A data analysis project using SQL to explore and analyze pizza sales data, including insights on sales trends, customer preferences, and branch performance.

This project analyzes retail footwear sales data from 2017 to 2024 to identify trends, optimize inventory, refine pricing strategies, and improve operational efficiency. By applying data cleaning, exploratory analysis, and forecasting, it provides actionable recommendations for seasonal demand planning, profitability, and product performance.

Cochin Traders imports and exports specialty foods globally. This project analyzes sales and operational data to enhance business efficiency, supply chain management, and sales performance. Key areas of focus include

An advanced dashboard using Power BI & Advanced Excel, analyzing Kaggle’s automotive dataset. Features KPIs, dynamic visualizations for sales trends, interactive filters, and geographic mapping. Enables strategic insights and decision-making in automotive sales.

A web-based Sales Analysis System designed to provide insights into sales performance. Features include daily sales tracking, sales vs labor analysis, trend reports, and forecasts. Built with React, .NET, and MS-SQL for real-time data visualization and actionable reports to optimize sales strategies.

This project explores and analyzes food industry data to uncover sales trends, customer preferences, and market insights. Using data cleaning, visualization, and exploratory data analysis (EDA), it helps businesses make informed decisions, optimize strategies, and improve overall performance in the competitive food sector.

This project analyzes coffee sales data using Excel, featuring data cleaning, trend analysis, and an interactive dashboard. Key insights highlight top-performing products, regional sales trends, and seasonal patterns. Recommendations focus on marketing strategies and inventory optimization. Future plans include Power BI integration for visuals.

The "Store Sales Database" project analyzes 100K sales entries, leveraging Python, SQL, and Power BI to manage, analyze, and visualize store performance. It provides insights into sales trends, regional performance, and customer behavior through real-time analytics, detailed reporting, and dynamic dashboards to support data-driven decisions.