Data Science in Marketing Kim used SQL, Python, and R to extract insights from television, search, social media, and programmatic channels for numerous client vertical categories at New York-based integrated media firm Media Assembly. He presented the findings of a multi-touch attribution model to the company's senior management in order to improve media optimizations. Extant media mix models (MMM) were also rebuilt to improve the efficiency and measurement of digital marketing efforts. Creating client conversion, revenue, and long-term value (LTV) models by integrating important key performance indicators (KPIs) such as cost-per-click, click-through rates, and impressions to maximize the allocation of client media budgets was another accomplishment Kim handled at Media Assembly. Kim used Tableau to create graphics that assisted a major pharmaceutical client to improve the effectiveness of their television advertisements.