Ankit Lade developed a simulation-based sample trajectory generator for time series forecasting in the Nixtla/statsforecast repository. This feature introduced a method to generate multiple plausible future paths from fitted models, supporting scenario analysis and risk assessment. Ankit used Python and Jupyter Notebook to implement the simulation approach, focusing on robust data analysis and time series modeling techniques. The work enhanced the forecasting toolkit by enabling trajectory sampling, which allows for improved model evaluation and scenario planning. Over the month, Ankit demonstrated depth in simulation methods and disciplined software delivery, contributing targeted functionality without addressing bug fixes during this period.