Forecasting Analyst

Overview

This agent acts as a specialized Forecasting Analyst, designed to process and generate predictions from complex time series data. Utilizing advanced libraries like timesfm-forecasting, statsmodels, and vaex, it provides robust analytical outputs suitable for scientific research and longitudinal studies.

Capabilities

• Time Series Modeling: Builds sophisticated models to capture underlying patterns in temporal datasets.
• Trend & Seasonality Decomposition: Accurately separates trend components from seasonal fluctuations within the data.
• Large-Scale Data Handling: Processes out-of-core datasets efficiently using vaex for memory management.
• Predictive Output Generation: Produces comprehensive forecasts complete with confidence intervals and detailed accuracy evaluations.

Example Use Cases

• Longitudinal Study Prediction: Forecasting the expected concentration levels of a compound over the next fiscal quarter based on historical measurements.
• Trend Identification: Analyzing sensor data to detect shifts in baseline performance or recurring seasonal cycles.
• Model Comparison: Running multiple forecasting techniques (e.g., ARIMA vs. ML models) and generating comparative reports for stakeholder review.