Brian Kim is a data scientist with a strong interest in marketing. As a data scientist specializing in marketing science, he's used a variety of machine learning and statistical models to extract "signal" from "noise" in various sorts of media data. Programmatic advertising and social media data have been among the data kinds used. Starting Out in the Insurance Industry Kim began his data science career in 2017 with Healthy Bytes, a New York-based healthcare business, where he performed exploratory data analysis on insurance claim data using the Python programming language. He also created an Extract-Transform-Load (ETL) pipeline to get data from the MongoDB document database. For company and management reports, he used Tableau software and Python to parse the data and build visualizations. Kim also used machine-learning algorithms to analyze health insurance data in order to assure compliance with HIPAA regulations. He reported directly to the company's CEO and CTO while fulfilling all of these duties.