Summary
Xinqi Wang is a data scientist with nine years’ experience blending business analytics, data modeling and machine learning to drive customer-centric solutions across insurance, consulting and retail. Currently at AIA Hong Kong & Macau, she translates complex business questions into production-ready models and analytics, drawing on prior IBM work in NLP, feature engineering and IT service benchmarking. Trained at HKUST and with multicultural study and work experience in Germany, Japan and China, she brings fluency in German, English and Japanese to cross-border projects and stakeholder communication. Her background in product and portfolio analysis at SAP and hands-on CRM work at Mercedes-Benz informs a pragmatic focus on process redesign and customer journey improvements. Notably, she combines design thinking with rigorous data pipelines—turning qualitative user insight into quantitative, operational impact.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Arts (B.A.), Germanistik, Bachelor of Arts (B.A.), Germanistik at Guangdong University of Foreign Studies
Master's degree, Business Analytics, Master's degree, Business Analytics at HKUST Business School
Business, Management, Marketing und verbundene unterstützende Dienste, Business, Management, Marketing und verbundene unterstützende Dienste at 青山学院大学
Bachelor's degree, Exchange Student, Bachelor's degree, Exchange Student at Universität Siegen
Bachelor of Applied Science (B.A.Sc.), International Business Management mit Schwerpunkt Japan, Top 3%, Bachelor of Applied Science (B.A.Sc.), International Business Management mit Schwerpunkt Japan, Top 3% at Hochschule ludwigshafen
Chinese, Chinese, English, German, Japanese