Azure Data Analysis of Zomato

Led end-to-end data analysis project using Pyspark, Azure Blob Storage, Azure Data Factory (ADF), and Azure Databricks.

Implemented pipelines to extract, transform, and load data from Blob Storage into Databricks for advanced analysis.

Analyzed customer preferences, identifying majority-preferred restaurant types and highest-rated restaurant categories.

Derived insights into average spending by couples and compared online vs. offline ratings.

Identified restaurant types receiving more offline orders and targeted offers for increased engagement.

Demonstrated strong problem-solving skills in data transformation and analysis, using Databricks for efficient ETL and storing final outputs in Azure Data Lake Gen 1.