Leading the development and execution of the company’s data and analytics strategy to support business goals and drive innovation.Overseeing the implementation of advanced analytics techniques, including machine learning and AI, to improve decision-making and operational efficiency.Managing the design and development of analytics architecture and infrastructure to ensure scalable and robust data solutions.Collaborating with business units to translate data insights into actionable strategies that enhance customer experiences and drive revenue growth.Building and mentoring a high-performing data and analytics team, fostering a culture of collaboration, innovation, and continuous improvement.Working with external partners, vendors, and stakeholders to leverage new technologies and methodologies in data analytics.Ensuring that data initiatives are aligned with customer needs and contribute to delivering personalized and effective insurance solutions.Establishing policies and procedures to ensure data integrity, security, and compliance across the organization.

Traveled with family and enjoyed some time off in the US after 8 years data startup journey.Advising a couple AI startups and did some board member work.Stayed with myself and enjoyed myself.

• Built an innovative Cloud Data Analytics product and spearheaded the development of both cloud and on-premise mobile analytics, customer data platform, and recommendation systems. Served over 2000 paid enterprise customers with 25M USD ARR. Customers including renowned internet companies and Fortune 500 companies such as Lego, Apple, Tesla, Dell, LVMH, BiteDance and IKEA.• Led a team that processed a staggering 160 billion behavior data events per day on our cloud data product. Solidifying company position as one of the top 20 data solutions in China in 2022. Gartner and EY recognized the company as one of the top 50 fast-growing companies in 2019.• Built and nurtured cross-functional teams encompassing Product, Engineering, Solution & Consulting, Marketing, Sales, HR, and Finance. Cultivated a collaborative culture that allowed individual talents to flourish.• Directly contributed to the success of data strategy for 30+ Fortune 500 companies, providing invaluable insights and assistance in data science and analytics implementation. • Successfully raised funding from top-tier investors, driving technological advancements and operational expansion. The company was acquired in 2022.

• Led and built internal data roadmap and data science strategy to empower Sales, Marketing, Monetization Product and Customer Operation at LinkedIn. • The internal GTM product "Merlin" initiative resulted in an extraordinary 3X+ acceleration of revenue growth for LinkedIn global sales, leaving a lasting impact on the organization’s success. The accomplishment was reported by WSJ in 2013 and highlighted in Reid Hoffman’s book, “Blitz Scaling.”• Nurtured and built top-performing data science, data engineering, and business analytics teams from a single person to over 90 data scientists and engineers. • Fostered a cohesive environment of seamless collaboration with teams such as product, marketing, sales, operation, and customer success, enabling 8000 LinkedIn employees to use data on a daily basis.• Auto-machine learning modeling helped marketing team to have achieved a remarkable 200% lift in LinkedIn subscription revenue growth between 2011 and 2014. • Built automatic machine learning, ETL, reporting and LinkedIn A/B testing tools which scaled advanced analytics efficiency by an impressive 50X+. • Collaborated closely with cross-functional teams and gained deep understanding of business objectives and delivering tailored solutions to meet internal needs. Consistently recognized as a top performer within the company.

• Joined as the first data scientist at LinkedIn to support enterprise revenue growth. • Built data science models for lead scoring, deal size prediction, customer retention, and social selling model to have accelerated revenue acquisition for sales and customer success teams.• Built the TAM sizing and predictive engine for LinkedIn Talent Solutions, LinkedIn Marketing Solutions and Premium Subscription business. It identified multiple blue ocean business opportunities for LinkedIn revenue growth.

Led site analytics team, supported eBay buying flow products. (From Home page to Checkout and Payment).Led several key analyzes to drive product change recommendations which led to$68 million incremental revenue for eBay Inc in 2009.Developed and applied the first fuzzy matching data mining analysis, enabling executives to make key inventory-related decisions. Delivered 20+ automations and dashboards & captured at least 10+ A class business opportunities during every early phase, which led to $36M cost savings across eBay and PayPal.Built 900+ buyer feedback scores and was one of the top eBay sellers and buyers after joining eBay.

Gathered, analyzed and interpreted a wide variety of sales and marketing data, and used Epiphany, SQL, and statistical tools to successfully analyze customer segmentation, retention, market baskets and channel utilization.Conducted A/B test for direct marketing campaigns and ROI analyzes for direct mail and email programs. Analyzed large scale of data including demographic, transactions and Nielsen & Claritas data.Conducted product propensities, customer lifetime value and churn probability analysis and identified business opportunities by using CRM analyzes & models to determine the optimal prospecting strategy.

• Provided in-depth marketing data mining, BI and closed-loop analysis reports to support Email campaigns, direct mail campaigns, online promotions and other marketing efforts. Achieved 25%+ y/y revenue increase. • Designed data Extract, Transform and Loading packages for integrating Saleforce data, leads, web registration, electronic rebates, paper registrations and suppression transactions into CRM system for our North America markets. • Designed and developed customer segmentation, and cross-sale models for internet marketing campaigns by using Epiphany and Microsoft Business Intelligence tools. • Optimized data capture applications and increased data accuracy and efficiency by 20%+.

• Developed and delivered several core business recurring daily business reports for corporation executives in SAP/R3 with ABAP. • Migrated ERP system to SAP for Linde Gas Group, AGA Gas Inc and Holox Co (A/R, A/P, HR, Inventory and Sales modules).• Assisted on re-engineering Vendor, Material and Customer Databases, an effort which improved data accuracy and performance by 15%+.

300+ Brain tumor operations.2 papers published. (Glioma related topics)