Developed an end-to-end solution analyzing the US Superstore dataset, providing actionable insights into sales trends, regional performance, and city-wise comparisons. This project demonstrates my ability to handle data analysis, create interactive dashboards, and generate meaningful visualizations.

Key Achievements

• Built Yearly Sales vs Profit line charts using Python (Matplotlib, Seaborn)

• Conducted regional analysis with pie charts to identify performance trends

• Compared city-wise sales to highlight top-performing areas

• Integrated insights into interactive Power BI dashboards for decision-making

• Streamlined data processing and visualization using Pandas

To-Do List Management System
Developed a To-Do List application using Python and Tkinter, providing an intuitive interface for task management, including adding, viewing, searching, updating, and deleting tasks. This project demonstrates my ability to build interactive GUI applications and handle structured data effectively.

Key Achievements

• Built a user-friendly GUI with Tkinter for seamless task management

• Implemented functionality to add, view, search, update, and delete tasks

• Displayed tasks in a tabular format using PrettyTable for clear visualization

• Integrated message boxes for user notifications and validation

• Ensured smooth data handling and storage for daily task operations

Cafe Management System
The Cafe Management System, built with Python and Tkinter, streamlines order placement and payment processing through an intuitive interface and personalized pricing options.

Key Achievements

• Designed a user-friendly GUI using Tkinter for seamless order management

• Implemented dynamic pricing and customizable menu options for customers

• Automated billing and payment calculations to reduce manual errors

• Ensured smooth data handling and storage for daily cafe operations