Zomato Data Analytics using SQL

In a SQL project on Zomato data analytics, one could start by cleansing and structuring the data from Zomato's database, focusing on attributes like restaurant ratings, cuisines, locations, and user reviews. Utilizing advanced SQL functions such as window functions, subqueries, and joins, predictive models could be built to forecast key performance indicators (KPIs) like restaurant popularity, average ratings, or peak dining times. Moreover, clustering algorithms could be employed to segment restaurants based on their characteristics. This holistic approach enables data-driven insights for stakeholders, empowering decision-making processes within the food service industry.https://github.com/rags2231/Zomato_data_Analysis