Michael Grotelueschen is a Director of Data Science with a decade of experience translating ML research into production at scale, currently leading a 7-person team at Nielsen focused on TV audience measurement and streaming analytics. He has a track record of driving measurable impact—redeveloping critical models for finer granularity, cutting validation and deployment times by ~75%, and boosting data prep accuracy by 50% for million-dollar projects. A former hardware engineer with an MS in Electrical Engineering from USC, he blends low-level systems thinking with production ML and sparked Nielsen’s first fully automated ML deployments and patented modeling work. He champions software engineering practices within data teams, from pair programming culture to interview training for hundreds of practitioners. Outside core responsibilities he’s building a public-facing data agent project, signaling a continued interest in pushing tooling and automation for data workflows.
10 years of coding experience
8 years of employment as a software developer
MS Electrical Engineering, MS Electrical Engineering at University of Southern California
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