Navya Amin completed Data Analytics and AI

Built an end-to-end demand forecasting workflow on 9,648 Adidas transactions: performed EDA, decomposed monthly sales into trend and seasonality, and compared a moving-average baseline, linear regression, and SARIMA using a leakage-free chronological split. SARIMA delivered the best accuracy, and the analysis translated into practical recommendations for seasonal inventory planning and regional revenue focus.

• Leakage-Free Time-Series Evaluation
• Comparative Forecast Model Selection
• Seasonality and Trend Diagnosis