Problem:
Streaming platforms struggle to retain users due to poor content discovery.

Solution:
Developed a hybrid recommendation system combining collaborative and content-based filtering techniques.

Impact:

• Increased user engagement by 20%
• Delivered personalized movie recommendations
• Production-ready deployment on AWS
• Handles user interaction data at scale

Tech Stack:
Python, Scikit-learn, AWS, Pandas

Key Highlights:

• Designed scalable recommendation pipeline
• Deployed model on AWS for real-time inference
• Built user behavior-driven personalization logic