I’m Mike Myers, a senior director leading custom analytics initiatives that blend statistical rigor with practical decision‑making. I’ve built teams, models, and full‑stack measurement for complex client projects—spanning survey design, Spark/EMR pipelines, and experiment frameworks. I hold a master’s in statistics and enjoy exploring the overlap of data, music, and design—the focus of my thesis on song popularity, which combined consumption signals, qualitative features, and ML methods. Outside of work you’ll find me cycling (indoor & gravel), testing gear setups, and writing approachable explainers on analytics topics. I like clear, elegant solutions that scale—and I try to make the results as understandable as the code behind them.

• Role: Senior Director, Custom Analytics

• Focus: Survey data modeling, Spark pipelines, A/B testing, interpretability

• Thesis: Song popularity modeling (consumption + qualitative features + ML)

• Interests: Cycling, music tech, data viz