Analyzing Iowa Liquor Sales Data

🔗 Detailed Report

Description

• Developed a comprehensive solution for liquor sales data analysis, leveraging tools such as Orange Data Mining, Amazon S3, Python Spark, and more.

• Addressed challenges including large dataset analysis and real-time data updates with Kafka, resulting in effective market segmentation scenarios, store classification using RFM, and profit optimization through high-margin product identification.

• Produced a user-friendly interface for data access and visualization, with the application of Matplotlib, Github Pages, and the Parquet file format.