Introduction

I am a Master's student in Operations Research at Columbia University, with a background in statistics, computer science, and economics. My work sits at the intersection of transportation analytics, operations research, machine learning, and data systems. Before Columbia, I completed an M.S. in Statistics at the University of Chicago and a B.S. with Honors in Statistics, Computer Science, and Economics from University of Wisconsin-Madison.

I have extensive experience in the transportation field, with work spanning traffic safety, transportation operations research, and systems optimization. My research has focused on data-driven modeling for mobility systems, logistics networks, and urban operations, including facility location, routing, scheduling, supply chain optimization, simulation, and decision-making under uncertainty.

I now focus on data engineering and data platform development, including large-scale data architecture, data ingestion and processing, Hadoop and Spark clusters, Hive data warehouses, real-time stream processing, capacity planning, and performance optimization. I am particularly interested in applying modeling and optimization methods from transportation operations research to large-scale data processing and resource scheduling.