Recipe Site Traffic Prediction & Analytics

Developed an end-to-end data science solution to analyze recipe website performance and predict which recipes are likely to generate high user traffic. The project includes data validation, exploratory data analysis (EDA), feature engineering, predictive modeling, and business-focused recommendations. By leveraging machine learning techniques, the solution helps content teams prioritize recipe publication, improve audience engagement, and optimize website traffic growth through data-driven decision-making.