Summary
Neal Fultz is a computational statistician and principal consultant with 13 years of experience solving complex quantitative, forecasting, and optimization problems for clients from boutique analytics to academia and industry. Based in Los Angeles, he runs njnm consulting while holding research and engineering roles at UCLA, Tatari, True Theta and others, blending rigorous statistical research with production-focused machine learning. His background spans machine learning engineering, optimization, and statistical consulting—rooted in advanced study toward a PhD in statistics and a MIMS from UC Berkeley. Neal is also an active mentor and educator, offering practical career and technical coaching, and is known for translating abstruse methodological ideas into efficient, auditable algorithms for real-world decision-making.
13 years of coding experience
9 years of employment as a software developer
MIMS, Information Systems, MIMS, Information Systems at University of California, Berkeley
BS, Computer Science, BS, Computer Science at Washburn University
University of California, Los Angeles