Comprehensive Analysis and Insights into iOS App Store Data by Nishant KushwahaComprehensive Analysis and Insights into iOS App Store Data by Nishant Kushwaha

Comprehensive Analysis and Insights into iOS App Store Data

Nishant Kushwaha

Nishant Kushwaha

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
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Posted Sep 9, 2024

Developed a data pipeline with Python and SQL to integrate, clean, and analyze iOS App Store datasets, providing insights into user ratings and app performance.