Bio

Technical Background: 5+ years of research experience in machine learning techniques with a focus on linear, non-linear regression, deep and shallow neural networks, and transfer learning to build predictive models for materials design such as solar cells. Industry Experience : 2+years of industry experience with a focus on industrial energy efficiency optimization, along with consulting for industrial energy management Computer Languages and Skills: Languages: Python, MATLAB, R; Machine Learning Tools: VerticaPy, Keras, Scikit-learn, Pandas Databases: SQLite Other Tools: EnergyStar Portfolio Manager, SAP (ERP)