United States
Most AI courses lose you the moment Greek symbols appear. I know — it happened to me. As a student, I'd be following along just fine until the math notation hit. Then I'd spend hours outside class tracking down the foundational explanation that should have been there from the start. That frustration became my teaching philosophy — and eventually, Computational Labs. I teach AI and data science using a 5-stage method that meets you exactly where you are: Foundational Concept → By Hand → In Excel → In Python → Adapting with LLMs. No jargon. No symbol shock. Just concepts that actually stick. My background: Ph.D. in Industrial & Systems Engineering | 17+ years at KPMG | Adjunct Professor at Liberty University. 📌 If you're learning AI and tired of feeling lost — follow me. 🌐 computationallabs.com
Designed a 5-step AI curriculum (Concept → ByHand → Excel → Python → LLMs) to eliminate the "symbol shock" that causes most beginners to quit, resulting in a structured learning path accessible to zero-prior-coding learners. Created and published AI and data science courses by translating Ph.D.-level research into plain-language progressions, making advanced machine learning concepts accessible to working professionals and students. Built Computational Labs as an independent AI education platform by applying 40+ years of industry analytics experience, establishing a content-first brand in the data science self-learning space.
Data Analytics
Process Improvement
Process Improvement