genre-analysis

Interactive Power BI dashboard analyzing Netflix titles, viewing patterns, and strategic recommendations.

Data analysis and visualization of Netflix’s catalog (2011–2025) using Kaggle datasets. The project explores content growth, genres, ratings, popularity, durations, and global distribution, with interactive dashboards highlighting key trends.

An Exploratory Data Analysis (EDA) of Netflix's 2021 content catalog using the Kaggle dataset. This project covers data cleaning, content categorization, and temporal and geographic insights. The analysis explores trends in Netflix's movies and TV shows, including ratings, genres, release patterns, and geographic production distribution.

📈 This project explores Netflix's movie and TV show dataset using SQL to uncover insights about content trends, ratings, genres, and release patterns. The analysis includes data cleaning, querying, and visualization to understand Netflix's content strategy.

This project analyzes Netflix's content library using SQL. It explores content type distribution, rating trends, country-wise content availability, and genre classification to extract meaningful insights from Netflix data for better analysis.

Exploratory analysis of Amazon Prime Video’s global catalog, highlighting trends in content distribution, genres, audience ratings, and release patterns using a Kaggle dataset.

A comprehensive Power BI dashboard providing analytical insights into movie industry data including box office performance, ratings, genres, director/actor metrics, and trends. Analyzes budget vs revenue, release timing impact, and audience preferences.

Boy Meets Girl Meets Natural Language Processing: Exploring Binary Text Classification of Rom-Com Subgenres Using Movie Synopses in Letterboxd Dataset

Music recommendation system built from a 600K-track Spotify dataset using SVD, NMF, Factorization Machines, and weighted content similarity.

Annotation guidelines for using the X-GENRE schema for the development of genre-annotated text datasets