AI Data Storytelling Specialist vs AI Demand Forecasting Specialist

B AI Demand Forecasting Specialist Only

• Time-series analysis and classical forecasting (ARIMA, ETS, Prophet)
• Machine learning for regression and classification (XGBoost, LightGBM, Random Forest)
• Deep learning for sequential data (LSTM, Transformer-based forecasters, N-BEATS, TFT)
• Feature engineering from heterogeneous data sources (structured, semi-structured, unstructured)
• Python programming for data science (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
• SQL and data warehousing for large-scale demand data extraction
• Statistical hypothesis testing and forecast evaluation (MAPE, WAPE, MASE, bias analysis)
• MLOps fundamentals for model deployment, monitoring, and retraining pipelines