"This project analyzes 365Datascience user data, focusing on membership trends, subscriptions, and engagement, using Power Query, Power BI, and SQL.

This project used Streamlit to deploy an interactive web application after analyzing a 2023 job dataset using Python libraries like Pandas, Seaborn, and Plotly.

Comprehensive analysis of 365Datascience platform reveals user engagement, subscription patterns, regional insights, and impactful strategies for retention

Analysis of Amazon products: price stats, sales volume, reviews, top products, Prime & Climate Pledge ratios, impact on sales & star ratings distribution.

I analyzed a multi-table dataset to study global electronics sales trends, covering sales/profit by country, customer dist. ,sales channels, and top products.

In this project, I analyze pizza sales data using SQL & Excel (Power Query, PivotTables) and build an interactive dashboard to highlight KPIs, trends & insights