Customer-Shopping-Trends-Analysis

The Customer Shopping Preferences Dataset from Kaggle offers valuable insights into consumer behavior and purchasing patterns. My role was to extract meaningful insights and patterns from the data to aid businesses in making informed decisions. I utilized Tableau to create an interactive dashboard.

Supermaket_sales

After importing the data into Power BI, a comprehensive data cleaning process was undertaken, followed by the extraction of valuable insights. The findings were then translated into visual representations, and a dynamic dashboard was crafted to offer a holistic view of the company's performance.

Customer_churn_prediction

Explored and visualized a bank customer churn dataset using Python, employing EDA, data visualization, and feature analysis. Applied basic machine learning models to predict customer churn, providing actionable insights for strategic decision-making in customer retention efforts.