Using Python Pandas Library to Analyze Sales Data

A Superstore management system made with JavaFX.

Superstore Sales and profit

Dashboard Superstore for Mid Term Visual Information Course Submission in Unsika 2024

SQL data analysis projects on various topics

Data Visualization and Storytelling

Interactive Tableau dashboard for analyzing Superstore sales, profit trends, top products, customer segments, and regional performance.

A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset.

The spark Foundation Internship-GRIP

Cleaned and transformed the Superstore Sales dataset using Python and Pandas to prepare it for interactive dashboarding and business insights.

This is my Power BI Project for the Master Program

Case Superstore desenvolvido no Power BI

Global Superstore Data Visualization Using Tableau

An interactive dashboard built in Power BI using retail sales data.

Data visualization using Tableau

The **Superstore Data Analysis Dashboard** is an interactive visualization tool that provides insights into sales performance, profits, and customer trends across various regions, categories, and time periods. It helps businesses monitor key metrics like top-selling products, profit by region etc..

This was done as a part of course project in CSE201 Advanced Programming Course.A SuperStore Management System using Javafx,OOPS concepts and Multithreading.Allows multiple user login and real-time GUI.

I Created An Interactive Dashboard for Superstore with Tableau Where I Concluded on How Superstore could get more profit and Sales.

Superstore Analysis - Sales Forecasting, Product Insights & Regional Strategy

This project applies RFM (Recency, Frequency, Monetary) analysis to segment SuperStore customers based on purchasing behavior. The goal is to support marketing campaigns by identifying loyal, promising, and at-risk customers using Python.