Xiaoyi Huang

• Delivered data analysis and modeling support across business-oriented and research-oriented projects as an independent analyst. • Performed survey-based statistical analysis for research-driven studies, including hypothesis testing, regression analysis, and measurement reliability assessment (Cronbach’s alpha). • Conducted ad-hoc business analysis using real-world company data, applying statistical analysis, NLP, and visualization to support marketing and marketplace decisions. • Designed and performed A/B testing evaluations for website feature changes, defined primary metrics (CTR) and success criteria, validated results with statistical significance testing, and summarized business implications for non-technical stakeholders. • Built demand forecasting models for small e-commerce businesses using Prophet and Transformer-based approaches to predict short-term sales trends. • Applied RFM analysis and customer segmentation techniques to identify high-value customer groups and behavioral patterns. • Evaluated data quality, communicated assumptions and limitations, and translated analytical results into clear, layman terms using intuitive visualizations for non-technical stakeholders.

> Built statistical models to forecast important business metrics, and to identify critical features in customer acquisition and customer conversion. > Translated business needs into technical problems, effectively bridged between Sales, Customer Experienced and Marketing and Data teams to set cross-functional goals and provide data-driven insights and actionable solutions. > Built and optimized Tableau dashboards that surfaced business-critical insights and tracked team-wide and company wide KPIs.

Developed PET-CT machine's audio sub-communication system with concentration in noise reduction. Differentiated speech signal from intense background noise produced by PET-CT machine while scanning, enhanced speech signal and reduced noise to achieve a better communication quality between patients and physician.

Applied Statistical Analytics theory and machine learning techniques that are vital to solving business problems through real-world projects