The Pizza Ordering System Analysis project aims to provide valuable insights to a
fictional pizza company regarding their ordering process and customer preferences.
Through a series of SQL queries and analysis, we aim to help the company understand
their operations better and identify areas for improvement
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This PowerBI dashboard provides insights into data industry demographics, career paths, and job satisfaction levels, enabling data-driven decisions for enhanced employee satisfaction and retention.
The objective of this project is to create an annual sales report for the year 2022 for Vrinda store. By analyzing the sales data, the aim is to gain insights into customer behavior, product performance, and sales trends.(Click on Image for insights)
This project involves comprehensive data cleaning and exploratory data analysis (EDA) of 2022 layoffs data, sourced from Kaggle. The README provides a detailed overview of the project, including methodology, findings, and conclusions, highlighting my ability to handle real-world data challenges and extract meaningful insights.
This data analysis project leverages pandas, Matplotlib, and Seaborn to explore sales data, uncovering customer demographics and product trends crucial for strategic inventory management and meeting market demands effectively.