What Shraddha demonstrated

Built an end-to-end demand analytics workflow on 9,648 historical transactions: performed EDA across sales, regions, products, and channels; transformed the data into a monthly time series; decomposed trend and seasonality; and compared a moving-average baseline, linear regression, and SARIMA using honest train/test evaluation. SARIMA delivered the strongest forecast accuracy and was translated into practical inventory and peak-season planning recommendations.

• Leakage-Free Time-Series Splitting
• Comparative Forecast Evaluation
• Seasonality and Trend Interpretation
• Business-Oriented Insight Synthesis