Using Python Pandas Library to Analyze Sales Data

The Super Store dataset contains data on order details of customers for orders of a superstore ie; chain of multiregional stores under a brand globally. This is a detailed analysis on customer behavior analysis.

This is an analysis made on a superstore to understand why they had been making losses over a four year period, yet it had accounts on a substantial amount of sales over the same year period.

EDA is Exploratory and Explanatory Data Analysis. Global Super Store from Kaggle.com . Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods.

A SQL repo for understanding analytics from basics to advanced with the help of Super Store datasets. It contains SQL dump of Super Store Dataset provided by Tableau and various questions.

This is my Power BI Project for the Master Program

Repository for Customer Segment Analysis using Python & Shiny App Dashboard

Business intelligence project capturing descriptive and predictive analytics

A Sample Superstore Dashboard created using Power BI analyzing Sales.

Internship_Project_DataAnalysis

Case Superstore desenvolvido no Power BI

This project provides an interactive analysis of Superstore sales data using Tableau, offering insights into sales performance, customer behavior, and market trends to help optimize business strategies.

This is the project for analysis of SuperStore Dataset using MSExcel.

A chatbot poc using chatgpt api. Text to SQL chatbot with streamlit interface

Interactive Dashboard & Performance Report Highlighting Key Insights and Strategic Recommendations

TASK-3 by "THE SPARK FOUNDATION" EDA on dataset "SAMPLESUPERSTORE"

Using the Superstore dataset, the goal of this machine learning project is to perform Exploratory Data Analysis (EDA) and implement clustering techniques to gain insights into customer behavior and optimize the store's operations.

This Tableau dashboard provides an interactive analysis of Superstore sales data, covering key metrics like sales, profit, orders, and customer trends. It helps visualize business performance across product categories, customer segments, and geographic regions.

An interactive Tableau dashboard analyzing key performance metrics for a global superstore, covering sales, profit, and shipping performance across various regions, categories, and timeframes. This dashboard provides insights to enhance strategic decision-making.