Andrew Mueller is Co-Founder and VP of Data Science at Kovva, an agentic AI platform purpose-built for media buying teams at agencies and brands.

Andrew earned a BA and MA in Economics from the University of Cincinnati, then built over a decade of data science expertise at firms including Nielsen, ThinkVine, and Ignite Technologies before becoming Lead Data Scientist at Martin DSP.

At Martin DSP, Andrew authored a white paper on ghost bidding technology to help media buyers more accurately measure long-term digital marketing effectiveness, establishing himself as a thought leader in programmatic measurement.

Andrew and his three co-founders, all veterans of PubMatic and Martin DSP, launched Kovva to automate the operational drag that has long burdened media buying teams across DSPs, SSPs, social, and search platforms.

Kovva's AI agents handle quality assurance, cross-platform discrepancy resolution, budget allocation recommendations, and creative fatigue detection, freeing buyers to focus on strategy and client outcomes.