In this essay, Shreya Shankar reflects on her experiences with predictive modeling, which began in middle school when she discovered the linear regression function on her graphic calculator. She describes some of the lessons she learned through her experiences at Facebook, Google Brain, Stanford, and Viaduct including addressing algorithmic bias, debugging ML pipelines, reproducing research, and accelerating training. She mentions some of the gaps that exist between ML research and production use cases and describes some of the skills and behaviors that enabled her success in the industry including using Spark, mastering mathematics, and collaborating with non-technical stakeholders.