Resume

Professional Experience

Lead Data Scientist

2025 - Present

Southlake, Texas (Remote)

  • Recently joined SABRE Labs's team as a Lead Data Scientist, where I'm tasked with driving innovations in airline scheduling, pricing, and forecasting
  • Hired to lead applied research and optimization efforts across global airline partners, focusing on mixed-integer programming, heuristics, and stochastic modeling
  • Collaborating closely with product, engineering, and client teams to deliver robust and scalable decision support tools within SABRE's commercial planning suite

Decision Scientist

2022 - 2025

Orlando, Florida

  • Lead technical design and development of a large-scale dynamic pricing system for Disney parks
  • Modeled complex RM problems using MIP, stochastic, nonlinear, and nonconvex programming
  • Delivered technical presentations and frequently acted as science translator in cross-functional meetings
  • Managed and mentored other scientists on priorities and project timelines

NSF Internship

2019 - 2020

Alexandria, Virginia

  • Developed land cover classification and atmospheric correction algorithms using scikit-learn
  • Created reusable Python tools to address common geospatial analysis problems
  • Contributed to internal ML knowledge-sharing through presentations and workshops

Graduate Teaching & Research Assistant

2018 - 2022

Clemson University

  • Taught undergraduate business & engineering statistics (STAT 2300 & 3090) to classes of 100+ students
  • Designed custom assessments and lectures tailored to curriculum needs
  • Developed and published new state-of-the-art large scale, convex optimization solving algorithms as part of Ph.D. studies in applied mathematics

Additional Information

Technical Skills

  • Optimization Programming: Linear, Mixed Integer, Stochastic, Nonlinear
  • Revenue Management: Dynamic Pricing, Resource Allocation, Mechanism Design
  • Machine Learning: Neural Networks, Reinforcement Learning
  • Languages: Python, SQL, MATLAB, C
  • Tools: Gurobi, Pyomo, Airflow, Docker, Git, Jupyter
  • Deployment: AWS, Azure, REST APIs, Snowflake

Content & Side Projects

  • Fantasy football draft optimizer using VOR and MIP techniques
  • Bayesian poker trainer built with self-play and probabilistic inference
  • Graph theory–based college football ranking system

Education

Ph.D. & M.S., Mathematics

2018 - 2022

Clemson University

B.S., Mathematics

2014 - 2018

Clemson University