Associate Researcher
Current- Developing visualizations on Plotly for stakeholder decisionmaking. - Ensures that visualizations clearly convey whether an energy savings project that has been undertaken for a building is effective or not, which is important in order for buildings in NYC to become compliant with NYC energy consumption laws (LL97, LL87)- Extensive usage of Python (Pandas, NumPy, typing, ruptures, etc) for data analysis and decision making- Generating changepoint models using ASHRAE Guideline 14 for M&V 2.0 using different granularity energy and OAT data- Managing millions of records of energy consumption data collected from meters using DigitalOcean Data Lake Storage- Working with backend developers to improve on existing GitHub packages based on feedback from the research team.