Analyzed Apple's dataset to check how many people bought Airpods after buying a Mac or iPhone. Thereafter, using ML and predictive analytics to check future outcomes. Therefore, as we can see this project has 3 phases-

• Data Cleaning and Preprocessing
• Exploratory Data Analysis

• Development of an end-to-end ETL/ELT data pipeline

• Application of Statistical and mathematical models (Predictive Analytics)

I've learned in-depth application of different concepts and techniques like-

• Databricks
  • Delta Tables
  • Parquet
• Apache Spark
  • PySpark
  • Apache SQL
• SQL
  • Broadcast Join
  • Windows Functions- LAG and LEAD in SQL
• Factory Patterns
• MlLib

For any query, ping me on

• LinkedIn: @jabhij
• Twitter: @jabhij
• Web: LetUsTweak

Hope, it helps!! ヅ