Churn Shield empowers B2B companies to: Predict customer churn in real-time using machine learning Analyze retention risks through an interactive dashboard Make data-driven decisions with stakeholders

Dairy Analytics Dashboard is an interactive Power BI project designed to analyze the performance of dairy farms, product sales, and customer behavior. This project provides actionable insights into farm productivity, product shelf life, and regional sales trends, helping stakeholders make data-driven decisions.

Built a churn prediction model to retain subscription customers. Expertly preprocessed data, engineered features, and optimized models for accuracy. Deployed the model via Flask for real-time predictions, showcasing end-to-end data science skills.

Data-Driven insights for customer Engagaement, Conversion Rates and Product Performance. Welcome to the shopeasy SQL Analysis project!. This repository contains sql queries and data analysis scripts aimed at understanding customer behavior.

A customer intelligence and revenue analytics project focused on identifying customer retention risks, revenue concentration, and growth opportunities using cohort analysis, segmentation, customer economics, and strategic business dashboards. Built with Python, Power BI, DAX, and commercial analytics methodologies.