Daily Grind Coffee Shop Sales Analysis (2024–2025) with Tableau dashboards, Python EDA, and SQL-based data processing. Features North Star metrics tracking (Total Sales, Transaction Volume, AOV), time-granular sales and product analysis, and a comprehensive README including, insights, and actionable recommendations and caveats.

Sales data analysis using SQL with business KPI insights

This project analyzes a dataset of Uber rides to extract meaningful business and personal travel insights. Using Power BI, key performance indicators (KPIs) such as top speed, most frequent travel purpose, average miles, and trip distributions are visualized to uncover travel behavior patterns.

End-to-end SQL project for project/portfolio finance: schema, seed data, validation, data-quality checks, business queries, and KPI views (Power BI–ready).

This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cumulative, performance, data segmentation, part-to-whole analysis.

This project extracts and cleans raw YouTube data from excel-csv (Kaggle) through SQL and identifies the top-performing UK-based Influencers. Data Stack: Excel | Microsoft SQL Server | Power BI

Superstore analysis using SQL Server and Power BI

Analyzing Medicare claims to uncover insights and trends in healthcare expenses through batch Ingestion

End-to-end retail analytics project using SQL, covering EDA, KPI design, and advanced business analysis.