Chief Data Scientist
Other Affiliations : University of California, Berkeley - PhD '10, Stanford University - NDO '02, Carnegie Mellon University - MS '01
Accomplished C-level data science executive with 15 years of experiences across industry and academia and first-author of 8 patents, passionate in working cross-functionally with key executives to empower growth-stage businesses to deliver long-term enterprise value through 4 data science angles:
Operations: Accelerating sales, marketing, and business operations with development of technologies for lead generation, channel management, and deal flow prediction, as well as establishments of thought leadership
Innovation: Driving business innovations across multiple market/product stages to balance supply and demand with key data-driven initiatives, approaches, and practices
Approach: Delivering business results using the simplest approach first, then iterates where necessary
Culture: Instilling rigor and efficiency in lean experimentation by creating state-of-art A/B test infrastructure and management practices recognizing statistical confidence metrics
Internally: Designed, hired, and managed data science organizations in both Silicon Valley and China, with 30+ PT/FT employees, contractors, interns.
Externally: Established thought leadership identities for organizations by speaking at industry and data science event on accomplishments in machine learning techniques, natural language processing, information extraction, information retrieval, personalization, statistical modeling, and predictive modeling.