This project analyzes and visualizes the average revenue of new vs. old products across different months using Python and data visualization libraries.
End-to-end retail inventory analytics project using SQL and Python (SQLAlchemy), featuring ETL pipelines and data modeling on 12M+ transactions to optimize inventory, turnover, pricing, and vendor strategy.
An interactive Excel dashboard analyzing sales data from major Jordanian cities (Amman, Aqaba, Zarqa, Irbid, Salt). Includes pivot tables, slicers, and multiple visualizations. Provides insights into revenue, profit, and product performance with cumulative and statistical analysis. All data is open-source and used for training purposes.
Power BI dashboard delivering business insights from the Superstore dataset, tracking Sales, Profit, Margin, Orders, and Returns, with YoY analysis across markets, products, and employees to identify performance issues and growth opportunities.
This repo is about actionable insights to boost your product and sales performance.
🎯 Professional Looker Studio dashboard analyzing 5,162+ customer transactions & $228M+ revenue 📈 Real-time business intelligence for retail analytics & customer loyalty program optimization 🔍 Top performer identification, product trend analysis, and strategic KPI tracking 🛠️ Google Looker Studio | Business Intelligence | Customer Analytics
Marketing analysis using Python and Pandas to analyse sales trends, customer behaviour, and product performance for data-driven decision-making.
E-commerce sales analytics project using Python, SQL, and Power BI to explore customer behavior, product performance, and business insights.
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.
Analyzed a dataset comprising over 1,000 products to reveal consumer preferences and identify e-commerce trends. Employed rigorous data preparation and analysis techniques to delve into the extensive product landscape on Amazon. Developed a recommendation system and performed sentiment analysis using machine learning.
This is Digital Case Study of Clique Bait food Store, which offers comprehensive insights into user behaviour, campaign effectiveness, and product performance through SQL Queries, providing actionable insights for optimization and growth strategies.
Interactive Power BI dashboard for sales performance analysis, built with Power BI. It provides insights into sales trends, regional performance, product performance, return rates, and payment methods.
Power BI dashboard project showing sales trends, top-selling products, and customer buying patterns from coffee shop data.
The pilot project was a part of virtual internship by codebasics
Global Superstore Data Visualization Using Tableau
This project showcases how i helped VelociMart shift from Excel-based reporting to a robust data infrastructure using SQL Server and Tableau. Built around Sales, Customers, and Products Data Marts, it follows the Medallion Architecture (Bronze → Silver → Gold) to deliver clean, analysis-ready views for effective business insights.
End-to-end Product Analytics project using MySQL, SQL, Python, and Tableau. Analyzes customer behavior, purchase funnel, product performance, category insights, and interactive dashboards to support product decisions.
Developed a Power BI Sales Performance and Customer Insights Dashboard to visualize key sales metrics, analyze customer behavior, and identify growth opportunities. The dashboard provided insights into sales trends, product performance, customer retention, and geographic distribution.
A Power BI dashboard that visualizes yearly and category-wise product sales, order status distribution, and total revenue analysis. Includes line charts, pie charts, bar charts, and category breakdown for better business insights.
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