This analysis aims to identify car sales market trends, consumer preferences, and seasonal patterns in sales to provide insights that can help improve marketing/sales strategies. The analysis includes: Data Cleaning to ensure accuracy and reliability of the analysis, Exploratory Data Analysis of car sales to identify market trends, customer preferences, and seasonal patterns, data visualization using Microsoft Power BI to gain insights into sales performance, customer demographics, and factors influencing purchasing decisions. Implementing a Machine Learning forecasting model (SARIMA) to predict future sales and provide actionable recommendations. Applying data science and machine learning knowledge to deliver valuable insights that can enhance sales strategies, marketing, and product development in the automotive industry.