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Netflix Content Analytics Dashboard

Interactive analytics dashboard for content performance analysis featuring real-time KPIs, A/B testing visualization, and ML model evaluation metrics.

Data Science
Dashboard
A/B Testing
Machine Learning
Visualization
React
Recharts
TypeScript

Netflix Content Analytics

Demo Dashboard

Interactive dashboard demonstrating data science skills for content performance analysis, A/B testing visualization, and predictive model evaluation.

Key Performance Indicators

Total Views

90.8M

+107.4%vs last period

Completion Rate

64.6%

0.1%vs last period

Avg Watch Time

24.5 min

0.1%vs last period

Engagement Score

7.3

0.1%vs last period
Viewership Trends
Genre Distribution

Regional Performance

Regional Performance

KR

Drama

+12.4%

JP

Drama

+8.7%

US

Drama

+5.2%

SEA

Drama

+15.6%

Experimentation & Machine Learning

A/B Test Results
Completed
Statistically Significant

Personalized thumbnails based on viewing history increase click-through rate

+51.2%

Lift

0.0001

p-value

493K

Total Sample

Recommendation

Roll out personalized thumbnails to all users. Expected +51% improvement in CTR.

Content Engagement Predictor

Predicts whether a user will complete watching a piece of content based on viewing history and content features

AUC-ROC

89.1%

Precision

82.3%

Recall

85.6%

F1 Score

83.9%

ROC Curve

AUC = 0.891

Feature Importance

Confusion Matrix

Predicted 0
Predicted 1
Actual 0
4,250
520
Actual 1
680
4,550

Technical Skills Demonstrated

Data Visualization

  • - Interactive time series charts
  • - Distribution analysis (pie/bar)
  • - Real-time cross-filtering

Statistical Analysis

  • - A/B test significance testing
  • - Confidence interval visualization
  • - Effect size (lift) calculation

Machine Learning

  • - Model performance metrics
  • - ROC curve analysis
  • - Feature importance ranking

This is a demonstration dashboard using synthetic data. Built with React, TypeScript, and Recharts.