Senior Data Analyst · kW Engineering
Building AI-driven energy analytics platforms for utilities and large facility portfolios.
Building AI-driven energy analytics platforms for utilities and large facility portfolios.
Self-initiated AI-driven energy intelligence platform for utilities and large facility portfolios.
Presented EnergyAgent (forecasting, anomaly detection, AI chatbot prototype) at the SkySpark community conference.
Tariff comparison dashboard using Arcadia/Signal API for utility rate optimization.
Forecasts meter usage and alerts clients before they set new monthly peaks.
ASHRAE's award recognizing outstanding doctoral research in HVAC&R and building science.
AI tool that auto-detects anomalous energy use across hundreds of buildings.
Conference paper on using LLMs and text embeddings to manage and translate energy efficiency measure data.
Podcast appearance with PhD advisor Dr. Amanda Webb discussing 1836-RP and AI in buildings.
Featured article on the 1836-RP research in the April 2024 issue of ASHRAE Journal.
Integrated foundational time-series model TimeGPT-1 as a fault detection tool in SkySpark.
Built AI tools to detect anomalies, forecast loads, and standardize data across hundreds of buildings.
Doctoral dissertation on using NLP and LLMs to understand, categorize, and standardize building energy efficiency measures.
Peer-reviewed journal article on the categorization system developed in ASHRAE 1836-RP.
Final research report for ASHRAE Research Project 1836-RP on standardizing EEMs.
Conference paper on best practices for naming energy efficiency measures.
Used text mining and topic modeling to analyze 3,500 energy efficiency measures across 16 sources.
Reviewed and re-categorized NREL's draft Water Conservation Measures using 1836-RP methodology.
Developed a course module on AI and ML applications in LEED-certified buildings.
Analyzed Residential Energy Consumption Survey data to identify drivers of fuel poverty in the U.S.
GPA 3.81. Completed alongside PhD coursework.
Summer internship enhancing the nmecr R package and authoring M&V reports.
Enhanced and contributed to the nmecr R package for building energy modeling and savings analysis.
Lead PhD research — standardized categorization system for 3,500+ energy efficiency measures.
Five years of NLP research applied to building energy data — from BERT to GPT-4.
Five years of NLP research applied to building energy data — from BERT to GPT-4.
Class project — benchmarked EUI, recommended EEMs reducing utility bills by 17% (~$6K/year).
Foundational credential in green building principles and LEED rating systems.
GPA 3.75. Construction and project management focus.
BIM coordination for Expo 2020 Dubai utility infrastructure design.
Five-year integrated dual-degree program. GPA 8.1/10.