Project Description: This project analyzes Tesla’s financial growth and stock performance from 2015 to 2024 using simulated real-world data. Python was used to generate and clean the dataset, while SQL helped extract key insights like revenue trends and profitability. The final interactive dashboard was built in Power BI,

End-to-End Data Analytics Project covering ETL (Python + Azurite), MySQL data modeling, and interactive Power BI dashboards. Features:

Amazon Customer Lifetime Value (CLV) Analysis This project demonstrates an end-to-end analytics workflow for analyzing Customer Lifetime Value (CLV) using: Python – MySQL. Power BI . Azure (Azurite)

A complete end-to-end data analytics pipeline for unicorn startups, built for MAANG-style business decision-making. This project uses Python to clean and transform raw startup data, automates staging in Azurite cloud and MySQL, and delivers interactive, drill-through dashboards in Power BI.

Azurite in Docker with build-in container for testing and development

Short Description: An end-to-end Amazon Sales Analytics project demonstrating data engineering, SQL analytics, BI dashboards, cloud integration, and predictive modeling.

End-to-end Netflix BI Project using Python, Azurite, MySQL, and Power BI. Includes data engineering workflows, dynamic dashboards, and cloud storage simulation.

"End-to-end sentiment analysis pipeline for Amazon reviews leveraging Python (TextBlob), MySQL, and Power BI with cloud-ready architecture (Azure Blob Storage simulation)."