At WQU Applied Data Science Lab, I’m developing end-to-end data science projects, from data ingestion and analysis to predictive modeling, dashboards, and APIs. I evaluate models with cross-validation and performance metrics.
For my Siemens-sponsored graduation project, I developed a PSS benchmark dataset and a multi-layered framework to verify LLM-generated code for syntax and semantic correctness. I’ve also built ETL pipelines through Depi’s Microsoft Data Engineer Training Program, using SQL, Azure, and Python.
