Comprehensive Analysis and Insights into iOS App Store Data

Data Pipeline Development: Created a data pipeline using Python and SQL to integrate and manage various iOS App Store datasets.

Data Cleaning & Transformation: Cleaned and transformed data to ensure consistency and address missing values, enhancing overall data quality and accuracy.

User Ratings Analysis: Analyzed user ratings based on app characteristics, identifying trends and genres with lower ratings. Assessed how app description length impacts user engagement.

Insights & Presentation: Strategically ranked and presented top-rated apps by genre, providing valuable insights for decision-makers in the app development sector.

link to project writeup : https://nkushwaha.carrd.co/#section02