Brian Kim

Director, Designer, and Art Director in New York, NY

As the name suggests, this is a field that

Following his time at Healthy Bytes, Kim worked for a short time at Metis, a New York-based data science and analytics company. At Metis, he made his own datasets and used machine learning for a variety of projects.

One of these projects was to look for mobile click-fraud. When a company's mobile ad platform was used by Kim, she used machine-learning algorithms to accurately predict how many people were going to click on fake ads. Kim used the analytics engine Apache Spark on Amazon Web Services to get and resample a lot of data (AWS). He also came up with at least 40 new features and used XGBoost and GBM to model discrete data to get an 88 percent recall rate.

Kim got a certification in data science and machine learning in March 2018. She did this at Metis. (He also has a certification in Google Analytics.)

Data science for marketing

At a New York-based integrated media agency called Media Assembly, Kim used SQL, Python, and R languages to get data from TV, search, social media, and programmatic channels for a variety of clients. He delivered the results of a multi-touch attribution model to the company’s senior management, so media optimizations could be improved. He also changed existing media mix models (MMM) to make digital marketing campaigns more efficient and easier to measure.

Another thing Kim did at Media Assembly made client conversion, revenue, and long-term value (LTV) models that used relevant KPIs, like cost-per-click, click-through rates, and impressions, to make the best use of client media budgets. Once again, Kim used Tableau to make charts and graphs. In one case, these charts and graphs helped a big pharmaceutical company improve its TV marketing.

Kim worked with a team of data engineers to change the way DMP collects and processes data. This helped the company improve its data collection and accuracy. He also helped write a "Point of View" document for the agency that talked about things like how the GDPR and CCPA regulations could affect businesses and how changes to third-party cookie policies could affect businesses.