You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
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.
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