This project analyzes and visualizes the average revenue of new vs. old products across different months using Python and data visualization libraries.

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

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.

Power BI dashboard project showing sales trends, top-selling products, and customer buying patterns from coffee shop data.

This repo is about actionable insights to boost your product and sales performance.

The pilot project was a part of virtual internship by codebasics

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.

📊 Excel Dashboard for E-commerce Product Review Analysis using Ecommerce Product Retail Dataset.

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.

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.

Global Superstore Data Visualization Using Tableau

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

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.