Tools: Python, Pandas, Seaborn, Matplotlib, Jupyter Notebook
• Performed comprehensive exploratory data analysis on Netflix titles dataset (8,800+ records) to uncover content trends and audience insights.
• Cleaned and transformed data using Pandas (handled nulls, extracted date and duration fields, categorized content types).
• Visualized patterns through countplots, heatmaps, and boxplots to highlight content growth, genre distribution, and audience ratings.
• Derived key insights showing Netflix’s dominance in Drama and Comedy genres and focus on mature (TV-MA/TV-14) audiences.
• Presented findings with strong data storytelling and visual clarity, emphasizing actionable business insights.