Jigyasu builds open-source machine learning tools for time-series data as a core developer of sktime. He focuses on creating benchmarking infrastructure that makes evaluating forecasting methods scalable and reproducible.
His work helps data scientists test classical models against modern deep learning architectures fairly. In his recent workshop on modern forecasting with sktime, he showed practitioners how to set up neutral benchmark experiments, automate tasks, and select models based on hard evidence.