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sales-performance-analysis

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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

  • Updated Aug 21, 2024
  • Jupyter Notebook

An E-Commerce Sales and Customer Behavior Analysis Project designed to explore and visualize business insights from real sales data. This repo includes end-to-end data analysis with SQL, Python, and visualization tools (Power BI/Tableau)

  • Updated Jul 10, 2025

This repository contains a project that analyzes the impact of media advertising 📺📻📰 on sales 💸 using SQL for data processing and Tableau for interactive dashboards 📊. The dashboard visualizes how advertising spend influences sales and helps optimize marketing ROI 📈.

  • Updated Nov 9, 2024
  • Python

A Power BI Service case study for Tri-Fleet Industries, featuring Row-Level Security, sales performance tracking, and secure dashboard sharing with team members to support strategic insights across global vintage vehicle markets and share analysis report with stakeholder.

  • Updated Jun 10, 2025

This repository contains the Regional Sales Analysis Dashboard project, developed as part of a Tableau course-end project. The dashboard provides a dynamic and interactive tool to compare the sales performance of two selected regions side by side, empowering management with actionable insights for strategic decision-making.

  • Updated Jan 13, 2025

This project is a comprehensive analysis of the USA Car Sales Dataset 2018–2024. The dataset provides a rich, multidimensional view of individual car sales transactions, including customer details, car specifications, pricing metrics, payment methods, sales performance, and seasonal or regional context.

  • Updated Dec 23, 2025

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.

  • Updated Nov 13, 2024

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