I recently completed an in-depth analysis of Netflix's dataset using advanced SQL techniques, including window functions, subqueries, string functions, and CTEs. The project explores various aspects of Netflix content, structured like a TV series, with each section as a "season" and each insight as an "episode."

Key Insights:🔹 Frequent Collaborations: Identified actors who often collaborate, offering valuable insights for casting decisions.

🔹 Diverse Genre Preferences: Analyzed genre preferences across countries, aiding content localization and marketing.

🔹 Director Versatility: Highlighted versatile directors who've worked across multiple genres.

🔹 Popularity Trends: Explored how the popularity of movies vs. TV shows has evolved over time.

🔹 Genre Combinations: Investigated popular genre combinations for informed content creation.