Hi, I'm Narinder Singh, PhD.

I build machine learning systems that businesses actually rely on to make decisions — from pricing engines to genomics pipelines. Based in Chicago, IL.

What I do

I've spent the last decade-plus turning messy data into models that people trust enough to act on. These days that means leading pricing and valuation analytics at Caterpillar, where our models help value tens of thousands of pieces of equipment. Before that, I ran genomic data science at Bayer, where the work translated into real dollars — north of $10M a year in value. What I care about most isn't the algorithm itself; it's whether the people making the decision actually understand and trust what the model is telling them.