Apr 2024 – Dec 2025 · 1 yr 8 mos · Greater Seattle Area

Jul 2022 – Apr 2024 · 1 yr 9 mos · San Francisco Bay Area

• Lead DS teams of user growth, user experience and product performance
• Drive multiple 0-1 initiatives that are fundamental to accelerate user growth and core product value
• Lead business review meetings with exec leaders and investors

Jan 2019 – Jul 2022 · 3 yrs 6 mos

• Led a team of machine learning engineers and data scientists to design and build ML models used by 10+ internal use cases, including such as recommendation engines, marketing, demand generation, etc.
• Increased user adoption rate by 32% and conversion rate by 16% through regular feature/algorithm releases and collaboration with small business owners to improve UI experience.
• Led efforts for multiple causal inference frameworks to measure the real-time success for 30M+ customers, enabling global optimization for pricing and merchandising strategies.

Jan 2018 – Jan 2019 · 1 yr

• Developed a predictive model that can identify the nonlinear relationship with competitor prices in high-dimensional demand space, improving model performance 15x from status quo.
• Designed and implemented a competitive pricing strategy that increased company net revenue by 2.3% and net profit by 2.8% through real-time responsiveness to market dynamics.
• Implemented dynamic revenue management pipeline that improved efficiency by 50x.

Jun 2017 – Sep 2017 · 3 mos · Greater Boston

• Conducted end-to-end customer segmentation analysis based on large unstructured databases. Generated $300,000+ revenue from ads investing, identified 20% more customers and improved ROI significantly.
• Monitored real-time product reviews (English and German) using NLP algorithms. Partnered with engineers, PMs and analysts to improve user experience on weekly-based meetings.
• Formulated metrics to drive product-centric and customer-centric insights. Designed experiments to identify the key drivers for improving NPS (Net Promotor Score) and improved predictive models via parameter tuning and ensemble learning.

Jan 2014 – Jan 2015 · 1 yr · Beijing, Beijing, China

• Defined and monitored a portfolio of metrics to measure the success of speed-to-market and product-market-fit. Built an interactive UI that was used for roadshows and fundraising events. Team raised 1.1 million in round A financing.
• Developed core marketing and recommendation algorithms from scratch that increased WAU by 200% within 3 months.
• Predicted future trends of user behaviors from large-scale data and provided actionable recommendations for marketing and engineering teams.

Jan 2014 – Mar 2014 · 2 mos · Beijing, Beijing, China

• Conducted networking analysis for analyzing product positioning and competition responses. Implemented and validated predictive models based on GB-level dataset to estimate optimal price and demands. Produced interactive pricing-strategy dashboards for final proposals.
• Worked with team to propose strategic recommendations for brand positioning and product portfolio for the client (one of the top vehicle companies worldwide). Performed in-depth research of Chinese vehicle market and provided insightful opinions in client meetings.