Analytics is the evidence layer, and the evidence layer is where credibility is won or lost. A model that cannot be explained to an executive or defended to a client is not an asset. It is a liability waiting for the meeting that exposes it. The operating layer failure is analytical work that is technically correct and organizationally indefensible.
This is the through-line of a thirty-year career across statistical modeling, machine learning, natural language processing, computer vision, and now LLM-based AI. We build regression-based decomposition models, validate against ground truth, and write the methodology documentation that translates a statistical framework into language an executive, a client, and a regulator will accept.
Proof in this function
Case study. Converted the largest skeptical client who was preparing to disengage, established the methodology documentation as standard protocol across sales, customer success, and product, and compressed sales report production from days to minutes through custom GPTs.
Career record. Scaled psychographic-targeting algorithms across 230 million users at Resonate. Pioneered machine-learning news and social analytics at Bulletin Intelligence that enabled the exit to Cision. Named inventor on US Patent 10,475,047.