My Global Energy project examines renewable energy generation over time and its relationship to electricity generation, economic development, and energy access.
In Exploring China’s Cleantech Exports, I analyze export trends, commodity categories, regional differences, and seasonality. I also use regression models and time-series validation techniques to forecast rolling export value.
I built Global Power Plants as a supervised regression machine learning project, studying the capacity and energy generation of hydro, solar, and wind power plants across 148 countries.
As an AI Engineering Intern at ECHO INC, I work with Retrieval-Augmented Generation, Knowledge Graph and Agentic RAG, and multi-agent orchestration. Previously, as a Data Entry Specialist at Orascom Construction PLC, I entered, organized, and validated spreadsheet data.
