Data Science for Amazon Prime Video

Led data science process in an interdisciplinary team of 5 master's students, developing data-driven methodology for Amazon Prime Video to systematically identify high-performing competitor content. Designed content and user acquisition strategy using 4 data sources: user survey and 3 quantitative datasets collected through continuous web scraping (weekly) from multiple platforms to track performance trends.