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.

Case Superstore desenvolvido no Power BI

Internship_Project_DataAnalysis

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.

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.

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

Course Work (Project)

Interactive Dashboard & Performance Report Highlighting Key Insights and Strategic Recommendations

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.

📊 Problem Statement :: XYZ Company executives needed a comprehensive overview of their sales and profit performance from 2012 to 2015. The goal was to analyze key metrics including profit by region, top products, and sales insights to inform strategic decisions.