If your goal is to memorize formulas, pass an exam, and move on, I am not the right fit.
I work with people who want to understand how things actually work end-to-end—and how to use that understanding to make better decisions in real situations.
I am driven by one goal: creating meaningful impact at the individual level. Whether I am teaching, building systems, or advising, I focus on helping people make decisions they can trust, gain clarity, and develop capabilities that translate...
If your goal is to memorize formulas, pass an exam, and move on, I am not the right fit.
I work with people who want to understand how things actually work end-to-end—and how to use that understanding to make better decisions in real situations.
I am driven by one goal: creating meaningful impact at the individual level. Whether I am teaching, building systems, or advising, I focus on helping people make decisions they can trust, gain clarity, and develop capabilities that translate directly into their work and lives. My technical background—a Ph.D. in Industrial Engineering with a focus on statistics, optimization, and computational methods—serves this goal, not the other way around. I have applied these foundations to real-world problems through data science, machine learning, and production AI systems, allowing me to connect abstract concepts to tangible outcomes.
I have been teaching since 2009 across institutions including the University of Redlands, California Polytechnic State University, and Mississippi State University. My experience spans large lectures (200+ students), small group settings, and one-on-one instruction. I have taught Data Science Foundations, Data Mining, Predictive Analytics, Data Visualization, Prescriptive Analytics, Linear Programming, Statistics, Probability, and Engineering Economy across undergraduate, graduate, and professional levels, in in-person, online, and hybrid formats.
My approach is structured but individualized. I focus on how each person thinks, where they get stuck, and what outcome they actually care about. From there, I build intuition first—why something works—then translate that into execution using Python and modern data tools. I avoid rote memorization and instead emphasize problem-solving, decision-making, and confidence through hands-on work.
The objective is not just to learn a concept, but to be able to use it—correctly—when it matters.
