A Data-Driven Financial Performance Simulation and Analysis of Tesla Inc. Using Python, SQL, and Power BI

This research paper presents a comprehensive financial performance simulation and analysis of Tesla Inc. using Python, SQL, and Power BI. The study integrates end-to-end data workflows including Python-based data generation, SQL queries for financial insights, and Power BI dashboards for interactive visualization. Key highlights: - Tesla’s stock financial performance analysis (2015–2024) - Structured SQL queries for financial reporting - Python scripts for simulation and automation - Power BI dashboards for visual storytelling The project demonstrates how data-driven methods can be applied in financial analysis and reporting, serving as a valuable reference for data analysts, researchers, and financial professionals.