David Hsu Email & Phone Number

Bellevue, Wa, Us

New York, Ny, Us

Led performance marketing responsible for the engineering platform that optimized both paid advertising and direct marketing channels, and started two new teams focused on ML applications for the consumer experience, and online experimentation.

Led the ads format quality team, responsible for optimizing ad formats and building ML models for controlling optional content that can appear on individual ads on the search results page. Team consistently delivered billion-dollar impact on yearly basis through machine learning, auction mechanisms, and ad format improvements

I lead the system and infrastructure architecture team for Cotiviti's digital initiative for centralizing the company's data assets and providing a unified big data platform for powering offline analytics, data pipelines, machine learning, and services. My team's responsibilities include infrastructure architecture including our hadoop platform, improving our development operations, cloud strategy, and compliance.

Atlanta, Georgia, Us

Led the data science team at the Kabbage, a fully automated lending platform that has provided over three billion dollars in working capital for small businesses. Team responsibilities include both core lending risk models and our internal machine learning / data science experimentation platform for feature generation and model training from diverse unstructured data sources such as financial transactions, social media content, traditional credit reports, and sales channels. Served as the interim head of analytics for a 50 person offshore analytics team headquartered in India, responsible for BI reporting, marketing and collection analytics, and risk strategy.

San Jose, Ca, Us

Technical lead and later manager for the applied research team responsible for seller guidance and insights for consumers and businesses. My team delivered algorithms that powered recommendations for both consumer and professional sellers resulting in over 250 million dollars in incremental GMV year-over-year.

Seattle, Wa, Us

• Managed the data science team at decide. Team responsibilities include core data collection and processing systems, research & development that led to several core product features, and analytics.• Key accomplishments included launching price predictions, price guarantees, the decide score product rating system, review sentiment analysis, product news & rumors, evolving our data processing systems from 4 categories and 100000 products to over 100 categories and 10’s of millions of products, and data analysis for marketing outreach that has been featured in places like the New York Times and Wall Street Journal,

Redmond, Washington, Us

• Responsible for airfare data collection, analysis, and continued development of Farecast’s predictive algorithms at Bing Travel.• Key accomplishments included expanding Farecast’s predictive technology and analytics from around 200 to 10000 airfare routes, and development of an internal airfare pricing system.

• Datamining lead at Farecast, an award winning travel meta-search engine ( voted top 50 website in 2006 by Time Magazine), eventually acquired by Microsoft for 115 million dollars, and rebranded as Bing Travel. Led team responsible for airfare data collection, analytics, and the prediction technology that powered airfare price predictions, deals, and airfare price insurance.• Primary developer of Farecast’s core innovation, a price prediction algorithm for airfares that was 74% accurate in predicting changes in airfare

Seattle, Wa, Us

• Worked in the cross-selling and personalization teams at Amazon. Sole developer responsible for designing and implementing the What Other Items Do Customers Buy After Viewing This Item recommendations on Amazon product pages.

Ph.D., Computer Science

B.S., Computer Science