This is a SQL Project to uncover business insights on customer behavior, product performance, channel effectiveness, and geographical sales trends.

SQL-based analysis of customer orders and menu performance for a fictional restaurant. Includes insights on top-selling items, category revenue, customer behavior, and ordering trends.

A Forage virtual job sim project for Tata on data visualization for business insights. Transforms retail transaction data using Python and Tableau to analyze sales trends, customer segmentation, and geographical demand, empowering businesses with effective insights.

Building a design and dynamic Tableau dashboard to present an overview of the sales/customers metrics and trends.

Explore pizza sales trends via SQL analysis and dynamic Power BI dashboards. Discover daily/monthly insights, category-based sales, and top-selling pizzas by revenue and quantity.

The analysis focuses on understanding sales trends, retailer performance, pricing impact, and regional market penetration. Explore the associated Tableau dashboard for interactive visualizations, read the detailed article on Medium, and visit my portfolio website for more of my work.

Exploratory Data Analysis (EDA) on a customer sales dataset using Python, Pandas, Matplotlib, and Seaborn to analyze purchasing patterns, customer segments, and top-selling product categories.

Stay on top of seasonal performance without manual analysis. This n8n workflow automation aggregates WooCommerce sales data, compares revenue and order trends across months and years, identifies top-selling SKUs, logs results in Google Sheets, and delivers clean, executive-ready summaries to Slack using a reliable n8n workflow template.