01 — Customer & Sales Overview
Main dashboard showing customer count, average purchase amount, review rating, subscription status, revenue, sales, age-group performance and shipping filters.
DATA ANALYTICS PROJECT
Interactive customer analytics project using data cleaning, SQL analysis and Power BI visualization to understand purchasing behavior, category performance, customer segments, subscription status and sales trends.
This project analyzes customer purchasing behavior and sales performance through an interactive Power BI dashboard. Python and Jupyter Notebook were used for data cleaning and preprocessing, PostgreSQL and SQL were used for analytical querying, and Power BI was used to build the final interactive dashboard.
Main dashboard showing customer count, average purchase amount, review rating, subscription status, revenue, sales, age-group performance and shipping filters.
Additional dashboard view used to explore customer behavior and compare performance across categories and customer segments.
Built an interactive analytics solution that transforms customer-level data into understandable KPIs, visual trends and filterable business insights.
View GitHub ↗