Hi there! I recently left Spotify as a Senior ML Engineer, and in a few weeks I will be pivoting in more product-side Data Science at Google, on the Pixel phone team. Some history: I used to run my own data science accelerator program (AccelerateML), helping folks break into the data science field in the most efficient way possible, without having a Masters/PhD, which is often a barrier of entry. After leading 2 full cohorts to "graduation", COVID hit and I quickly burned out. I sunset the program and eventually completely pulled the plug on things. I am coming out of the woodwork now, to help push a new wave of aspiring data scientists into the market! Some of my recent achievements: • At Spotify, I productionalized a model that predicts the monetization potential of a hypothetical podcast, unlocking more intelligent content investments decisions. • At Uber, I was a founding member of CausalML - an open-source Python package that solves causal inference problems using uplift modeling and meta-learners (www.github.com/uber/causalml) • At Retina AI, I pioneered a new framework for computing LTV (Customer Lifetime Value) using LSTM models. • I prototyped the first content recommendation system at PlutoTV, which brought in over $1B annual revenue last year. ---------- Mike is an expert on both sides of the interviewing table. As an interviewer, he has interviewed over 350+ candidates throughout his career. As an interviewee, he has received offers from Google, Airbnb, Spotify, LinkedIn, and many more companies ranging from large tech to early stage startups.