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: