Welcome to my professional portfolio! This repository is a curated guide and overview of my data analysis projects and case studies. It showcases my skills and approach to data analysis, including work with SQL, Python, Tableau, and business intelligence.
| Project Link | Focus Area | Description |
|---|---|---|
| 🚩8Weeks-SQL-Challenges | SQL queries, joins, aggregations, optimization, subqueries , Data Cleaning | This repository is my logbook through the 8 Week SQL Challenge by Data With Danny — a hands-on journey to sharpen my SQL and data analysis skills, one real-world case study at a time. |
| ✔️IPL Performance Analysis | SQL queries, joins, aggregations, optimization, subqueries , Data Cleaning , PPT , Data Sorting , Report | This project is to demonstrate how data analysis, particularly using SQL, can provide actionable insights into player selection strategies in the IPL auction. This analysis is driven by the idea that teams make multi-million-dollar decisions based on player statistics. Understanding which attributes (e.g., batting average, strike rate, boundary percentage) most affect the auction price can help teams make more informed, data-driven decisions. |
| Project Link | Focus Area | Description |
|---|---|---|
| 📊Strategic Insights Dashboard | Data Cleaning , Data Analysis , Data Visualization , Data Analysis Expression(Dax) | A dynamic Power BI dashboard designed to deliver strategic insights across revenue, products, customers, and global sales performance. Built using Power Query and DAX with drillthrough, slicers, and interactive visuals. |
| Project Link | Focus Area | Description |
|---|---|---|
| 👩💻Fitbit Fitness Tracker Case Study | Excel , Data Cleaning , Data Visualization , Pivot Table and Charts , Power Query | The goal of this case study is to analyze Fitbit fitness tracker data to provide marketing and business solutions to WeFit and its subsidiaries. By understanding customer trends, usage patterns, and activity data, we aim to help WeFit optimize its offerings and grow its business across multiple divisions, including LeanFit, FitWear, and Sleepy-Nights. |