STC TV Data Analysis

In this project, I analyzed STC TV user data to uncover viewing trends and enhance decision-making

:Key tasks included

Studying HD vs. SD preferences for movies and series-

Forecasting watch time using SARIMA-

Building a recommendation engine to personalize user experiences-

Making the final PowerPoint presentation that summarizes the findings-

:Key findings

Movies dominate HD consumption, and series attract significant SD viewing time-

The forecast shows a steady decline in watch time-

Example recommendations for 'Moana' viewers demonstrated personalization-

:Recommendations

Increase HD content availability to meet viewer preferences-

Enhance recommendation system personalization to boost engagement-

Focus marketing on popular genres and series to promote subscriptions-