Aryaman Tyagi

Master's

Data Science

California Plug Load Research Center Calit2

Research Assistant

Project - Machine-learning-based methods for multi-scale and multi-state simulations of thermal Energy storage systems Responsibility: In my current role, I lead data processing, cleaning, transformation, and feature engineering initiatives to enhance data quality and usability for advanced machine learning applications. Achievements:  Designed an LSTM-based sequence forecasting model, increasing accuracy by 90%.  Led data transformation & feature engineering for ML-based energy prediction.  Developed synthetic data generation pipelines, boosting dataset size by 140%.  Applied finite element modeling (FEM) in ANSYS to generate training data for ML.