A project that utilizes Microsoft PowerBI to analyze personal financial data and visualize expenses through an interactive dashboard.

A real business case aiming for optimisation of stock management. Cleanse - Calculate - Visualize - Drive insights based on current dataset. Recommend new KPIs and metrics for operations.

An End-to-End Business Intelligence project that analyzes product and category profitability to uncover high-impact insights and drive smarter business decisions.

Excel-based transaction analytics dashboard with smart search and spending insights.

Tableau dashboard visualization for COVID-19 daily update with historical trend, and business insights on COVID Response staffing plan.

Customer churn and retention analysis to identify churn patterns, evaluate retention trends, and provide insights to improve customer lifetime value.

Advanced SQL queries and KPI reporting for business operations optimization.

This Power BI project is a comprehensive analysis and visualization of Adventure Works, and aims to track KPIs, compare regional performance, analyze product-level trends, and identify high-value customers

Web scraping, SQL insights, and Python EDA project using the Books to Scrape dataset. Collected multi-page book data, stored it in CSV, generated SQL-based insights, and built visualizations with Pandas, Matplotlib, and Seaborn to explore ratings, prices, and availability trends.

A comprehensive analysis of pizza sales data using SQL, uncovering key insights into sales trends, popular pizzas, and customer preferences. This project utilises four datasets to provide a detailed look at the restaurant's performance and operational efficiency.

SQL insights, and Python EDA. SQL-based insights, and built visualizations with Pandas, Matplotlib, and Seaborn to explore health trends.

SQL analysis of Olist e-commerce dataset: orders, customers, order items, products, sellers, payments, geolocation, and key insights

Uncovering insights from sales data to help business leaders at Tata Group make informed decisions.

📊 Built a dynamic Sales Dashboard using Excel (PivotTables, Charts, Slicers) to analyze product, region, and monthly performance. Showcases beginner-to-pro Excel analytics and storytelling for real business insight.

Analysis and feature engineering of the Online Retail Transactions dataset to uncover customer behaviour, product trends, and optimise pricing. Includes interactive dashboards for actionable insights.

Used raw data from database and created valuable business insights for executives to make strategic decisions.

SQL multi-table restaurant analysis uncovering sales trends, revenue insights, and customer behavior