Summary
Mark Rethana is a Lead Data Scientist at Spotify with eight years of experience applying statistical analysis, machine learning, and deep learning to music and content analytics. He combines a finance background and FP&A leadership with hands-on data engineering skills (Python, SQL, Pandas, scikit-learn, Keras) to translate business questions into measurable product improvements. At Spotify he progressed from music analytics to leading the Music Expression product, bringing cross-functional product chops and rigorous A/B and modeling practices to creative domains. Prior roles at TIDAL and media companies show he can move between revenue-facing analytics and technical ML work, and his Flatiron School projects include a Spotify feature comparison app and sentiment-driven stock prediction—illustrating a knack for building production-ready prototypes that blend domain insight and experimentation.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Analytics, Master of Science - MS, Analytics at Georgia Institute of Technology
Immersive Data Science Bootcamp program, Immersive Data Science Bootcamp program at Flatiron School
Bachelor’s Degree, Finance, General, Bachelor’s Degree, Finance, General at Boston University Questrom School of Business
High School, High School at Kellenberg Memorial High School