Using Python Pandas Library to Analyze Sales Data

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.

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.

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.

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.

Repository for Customer Segment Analysis using Python & Shiny App Dashboard

This is my Power BI Project for the Master Program

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.

Internship_Project_DataAnalysis

Business intelligence project capturing descriptive and predictive analytics

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

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

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.

Analyzing the data for understanding the trends and patterns associated with Profit and sales of Superstore with the help of Data visualization tool - Tableau. The trends and patterns derived will give insight and insights will lead to recommendations help in business to strategies for growth.

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.

Course Work (Project)