Better-CLV-Prediction focuses on predicting CLV using machine learning techniques. By analyzing customer data, the model can help businesses optimize their marketing strategies and improve customer retention.

In this project, I performed a comprehensive analysis of Diwali sales data using Exploratory Data Analysis techniques.The goal was to unveil patterns,trends and actionable insights to help businesses optimize their sales strategies for future Diwali seasons. This project showcases my ability to leverage EDA techniques to derive meaningful insights.

This project aims to analyze the telecom market, focusing on customer demographics and their preferences for multiple telecom services. The goal is to identify age groups that are most likely to have multiple telecom services and understand their sentiment regarding the number of options they have.

Engineered a Power BI dashboard for Zephyr Financial, transforming over 10,100 credit card transaction records into actionable insights that increased revenue growth by 28.8%, enhanced customer segmentation and enabled targeted marketing strategies, improving operational efficiency.