A scatter plot graph showing the relationship between a running variable (X) and outcome (Y). It includes a control group and a treated group separated by a vertical dashed line at the cutoff point. There is a labeled treatment effect arrow indicating the difference in outcomes at the cutoff.

Quantitative Solutions, Human Touch

Two scientific charts showing bootstrap and mean RPC data across different age groups or categories, with the left chart using scatter plot points and the right chart using bar graphs with error bars.
Line chart showing hourly elasticities of X to Y (Deep Sea) and Z (Gold) with respect to time of day, from midnight to 10 PM, with different marker shapes and colors for each elasticity.
A line graph displaying the effect of a treatment over time on two groups, with data points scattered across the graph. The control group shows a smaller increase in outcome, while the treatment group shows a larger increase. The graph indicates an intervention point at time zero and highlights the treatment effect with an orange arrow.

Who We Are

ML Analytics is a boutique consulting firm that provides actionable analytical decision support powered by foremost economic and quantitative methods. Our founders combine PhD training from America’s top institutions with decades of professional experience across academia and industry to deliver precise yet executable business and organizational solutions. Our mission is simple - provide industry leading analytical excellence with the personal touch that aligns with the values of your business or organization.

We provide expertise in pricing strategies, scalable solutions, organizational decision making, survey analysis, opportunity sizing and much more. We help any company or organization at the intersection of data, people and the “hard-to-quantify.” Our work spans across the private sector, state and local governments, and colleges and universities. 

Meet Our Team

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Dr. Michael Mathes is an applied microeconomist with a specialization in Health Economics.  He has over a decade of experience in research, data analysis, and optimization strategy.  His work includes private sector and government projects in the areas of health care, insurance, higher education, and energy.  He earned is Ph.D. from Vanderbilt University

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Paul LaFond is a Senior Analytics Manager with a background in applied research methods and political economy. He has extensive technical and leadership experience in the private sector with specialties in auctions & competition, insurance & technology, consumer behavior, pricing strategy, logistics, and more. Paul earned his MA in Economics from the University of Chicago and is also an adjunct professor of economics.

Our Mission

We deliver the best in quantitative methods and business collaboration. Our solutions are well researched, well executed, and well designed. We find the truth in the data and care for your business as our own.

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