THE POWER OF RFM IN E-COMMERCE: A CASE STUDY OF GREENMART

This project focuses on RFM (Recency, Frequency, Monetary) analysis for GreenMart, a supermarket with both online and physical stores. The RFM model is used to segment customers based on their purchasing behavior to help GreenMart better understand its customer base and tailor marketing strategies

UNDERSTANDING CORPORATE DOWNSIZING : A DETAILED ANALYSIS OF GLOBAL LAYOFF DATA (2019–2023)

This analysis provides an in-depth exploration of global layoff trends from 2019 to 2023, with a specific focus on corporate downsizing in the context of the COVID-19 pandemic. Advanced SQL techniques, including Common Table Expressions (CTEs), window functions, and self-joins, were utilized.

SALES PATTERN AND CUSTOMER INSIGHTS FOR ADVENTURE WORKS

This Adventure Works project in Power BI focused on analyzing sales, customer behavior, and product performance to support data-driven decision-making. The dashboards offer clear, actionable insights to support Adventure Works in boosting sales, enhancing customer connections, and refining product.

PIPELINE RISK ASSESMENT AND ANALYSIS

This analysis delves into the patterns and trends of pipeline accidents across the United States, providing valuable insights into the complex issues surrounding pipeline safety. Python Pandas library was majorly used for this analysis.