Forecasting & Optimization for Steel Production Planning
Researched and developed a hybrid ES-RNN, XGBoost, SARIMAX, and Croston forecasting framework integrated with MILP-based optimization for steel production planning.
Incoming Ph.D. Student, UCLA Anderson
I study how people and systems make decisions under uncertainty — on the board, and off it.

3.92
GPA, B.S. Double Major
4
Industry Internships
2026
Ph.D. Start, UCLA Anderson
2042
FIDE Chess Rating
Worked with
Mastercard
Associate Consultant Intern
Pegasus Airlines
Data Analysis Specialist
Simon-Kucher
Associate Consultant Intern
Amazon
Vendor Manager Intern
Before operations research, there was chess
National champion at 18. Founder of a university chess club. Comfortable playing entire games blindfolded — a decade spent learning how people make decisions under pressure, one move at a time.
Selected work
Researched and developed a hybrid ES-RNN, XGBoost, SARIMAX, and Croston forecasting framework integrated with MILP-based optimization for steel production planning.
Researched and implemented a Double DQN model in PyTorch to solve the 2D bin packing problem.
Let’s talk research, operations, or your next chess move.
Get in touch