A comprehensive sales performance analysis dashboard built using Python, and visualization tools. This project includes data cleaning, descriptive statistics, correlation analysis, and insights into sales trends, profitability, and the impact of discounts. Key features include interactive visualizations using Seaborn, and Matplot

This project examines SKU sales across five launch phases to enhance inventory management and guide future product launches with data-driven sales analytics and business intelligence.

A dashboard that presents monthly sales performance by product segment and product category to help him identify the segments and categories that have met or exceeded their sales targets, as well as those that have not met their sales targets.

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

Visualization of sales dataset to overview the sales performance.

Two dashboards using tableau to help stakeholders, including sales managers and executives to analyze sales performance and customers.

Measuring retail store sales performance including trend by year and trend by sub category, burn rate analysis, customer acquisition, and customer retention.

Createed an interactive 4-page dashboard for AdventureWorks that visualizes key sales metrics—including revenue, profit, orders, and return rates—across 2020 to 2022. Featuring dynamic geographic analysis and detailed customer insights, this dashboard empowers data-driven decision-making and enhances business performance.

This repository is intended for storing my project on SQL and Data Wrangling.