Latest Project
Netflix Genre Analysis
In this project, I analyzed Netflix titles to explore popular genres, their distribution, and viewing trends. Using data analysis techniques, I visualized which genres are most common and how they vary across movies and TV shows. This helps understand audience preferences and content diversity on Netflix.
Youtube Trend Analysis
In this project, I analyzed trending YouTube video data to identify patterns in titles, tags, categories, and view counts. Using Python for data cleaning and visualization, I discovered insights such as the most popular video categories, keywords with high engagement, and trends in likes and comments. This analysis can help content creators understand what type of content performs well and improve their growth strategy.
Job Trend Analysis
In this project, I analyzed LinkedIn job posting data to uncover trends in job titles, industries, and required skills. Using Python for data cleaning and visualization, I identified the most in-demand skills, top hiring industries, and emerging job roles. These insights can guide students and professionals in aligning their learning paths with current market demands and help recruiters understand talent availability trends.