Using Python Pandas Library to Analyze Sales Data

A Superstore management system made with JavaFX.

Superstore Sales and profit

Superstore sales analysis: EDA + KPI insights + profit prediction (XGBoost/RF) + Holt-Winters forecasting.

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

SQL data analysis projects on various topics

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

Data Visualization and Storytelling

This is my Power BI Project for the Master Program

Case Superstore desenvolvido no Power BI

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.

A comprehensive sales performance dashboard built in Power BI, analyzing the Superstore dataset.

SQL analysis on Sample Superstore (SQLite)

Exploratory Data Analysis (EDA) of retail sales using Python (pandas, matplotlib, seaborn). Includes data cleaning, visualizations, and business insights.

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

Global Superstore Data Visualization Using Tableau

Superstore Analysis - Sales Forecasting, Product Insights & Regional Strategy

This Excel dashboard project is a collection of three interactive dashboards designed to demonstrate how spreadsheet tools can drive data storytelling and deliver operational insights. Each dashboard focuses on a different business function, using clean design principles and interactivity to make insights accessible for non-technical users.

SuperStore Business Intelligence Dashboard

This project is an exploratory data analysis EDA of the Superstore dataset, examining sales, profit, customer, and regional patterns. The goal is to gain data-driven insights to support business decisions

This repository presents a profitability analysis of the Superstore dataset, featuring customer and segment insights supported by an interactive Tableau dashboard.

Analyze the SuperstoreUS database, using SQL and Tableau.

Sales Data Analysis Project implemented following the Google Data Analytics Professional Certificate strategy. Visualizations and insights from a Superstore dataset using Python.

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..

AI-Powered Business Intelligence Dashboard with Insights, Forecasting & Interactive Analytics

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.

This Repo contains Sales Analysis using Python & Pandas

Analysis of superstore Sales Data