Data Scientist
Researched and developed solutions in the Fraud team with responsibility for detection, identification, and report on mobile advertising attribution fraud. Analyzed and processed complex data sets using advanced querying, visualization, and analytic tools.Performed research and analyzed mobile (Android and iPhone) fraud types such as click flooding, install hijacking, and device farms from faked impressions, click fraud, or faked installsDeveloped components, features, automated labeling logic, and models that detect anomalies and fraudulent mobile app installs and fraudulent app advertising attribution. Regularly worked with a wider team in the software development lifecycle to solve problems and recommended solutions so clients received the highest quality products and services.