Rui Liang Email & Phone Number

Seattle, Washington, United States

Led the development and deployment of a Field Eligibility Model to assess field suitability for planting short corn, streamlining grower enrollment for the Preceon Smart Corn System. This initiative revolutionized the global corn industry.

Columbus, Ohio Metropolitan Area

• Claim Prioritization & Adjuster Assignment Automation
• Built an automated system for claim prioritization and resource allocation, providing strategic interventions throughout the claims’ lifecycle.
• Led the development of a predictive model that identifies high-risk claims early to minimize potential losses.
• Utilized advanced Natural Language Processing (NLP) techniques for processing claim loss/incident descriptions and log notes, including stop word removal, stemming/lemmatization, named entity recognition (NER), and.
• Ensured high-quality input data for model training with comprehensive data management and validated model efficacy using precision-recall curve.
• Integrated model results interpretation into the system, triggering strategic business actions.

Columbus, Ohio Metropolitan Area

• Expedited Underwriting
• Streamlined the underwriting process for new business applications, providing real-time service that contributed to a significant reduction in operational costs, saving the company approximately $6 million.
• Developed a sophisticated XGBoost predictive model utilizing a Tweedie distribution, leveraging data from the quoting stage to enhance the accuracy and efficiency of risk assessment.
• Optimized the model deployment process by implementing a one-stage modeling approach, which resulted in a reduced workload for system maintenance and future implementation tasks, surpassing the traditional two-staged.

Columbus, Ohio Area

State College, Pennsylvania Area

• Provided statistical advices in terms of experimental design, data collection and data preprocessing to clients from local food companies and research labs
• Led exploratory data analysis on collected data and presented tailored statistical analysis plans to clients
• Conducted business intelligence analysis to help with decision-making according to clients’ needs

State College, Pennsylvania Area

• Mentored regression analysis, SAS programming to a wide range of audiences
• Assessed students’ understanding of relevant statistical concepts based on homework as well as test scores and gave feedback for improvements