01 — About
Turning operational chaos
into scalable systems.
I'm a data scientist with a Ph.D. in Transportation Engineering and an M.S. in Statistics, currently based in Riverside, CA. My work sits at the intersection of machine learning, simulation, and mathematical programming — translating messy, real-world logistics problems into algorithms that hold up at scale.
Outside of production code and optimization models, I spend my time with a camera in hand, planning the next trip, and following wherever curiosity about new technology leads.
Programming & Data
Python, R, SQL, C, VBA, MATLAB, Tableau
Optimization
Gurobi, CPLEX, mixed-integer programming, linear & nonlinear programming, simulation, heuristic search, Hungarian algorithm
Machine Learning & Analytics
scikit-learn, TensorFlow, Keras, LSTM networks, random forests, SVMs, statistical modeling, experiment design, spatial analytics