Using Python Pandas Library to Analyze Sales Data
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Updated
Mar 25, 2022 - Jupyter Notebook
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
Interactive Tableau dashboard for analyzing Superstore sales, profit trends, top products, customer segments, and regional performance.
Data Visualization and Storytelling
A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset.
Exploratory Data Analysis (EDA) of retail sales using Python (pandas, matplotlib, seaborn). Includes data cleaning, visualizations, and business insights.
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.
Case Superstore desenvolvido no Power BI
SQL analysis on Sample Superstore (SQLite)
This is my Power BI Project for the Master Program
Analyze the SuperstoreUS database, using SQL and Tableau.
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.
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.
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
An interactive dashboard built in Power BI using retail sales data.
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