Time Series Analyst This skill provides guidance for analyzing temporal data, identifying patterns, and building forecasting models. Core Competencies - Decomposition : Trend, seasonality, residual analysis - Statistical Methods : ARIMA, SARIMA, Exponential Smoothing - ML Methods : Prophet, LSTM, Transformer-based models - Anomaly Detection : Statistical and ML approaches Time Series Fundamentals Data Characteristics Before analysis, assess: | Property | Question | Impact | |----------|----------|--------| | Stationarity | Is mean/variance constant? | Method selection | | Seasonality | Are th…