Summary
刘瑞祺 is a data analyst based in Shenzhen with nine years of experience applying statistical modeling, spatial analysis, and knowledge-graph techniques to smart city and urban management problems. At PingAn Urban-Tech he built time-series forecasting models (ARIMA, exponential smoothing) for municipal finance, developed GIS-based suitability and environmental carrying capacity assessments, and helped construct urban knowledge graphs with Neo4j and Cypher. He combines rigorous analytical skills from a Master of Commerce in Business Analytics (UNSW) with practical program coordination experience from large public events, and is noted for strong communication and team leadership. Comfortable turning messy geographic and administrative data into visual, queryable insights, he also leverages graph algorithms (shortest path, clustering) to accelerate operational decisions. A modest, prudent professional who values deeper technical mastery, he seeks to translate complex urban data into actionable city governance tools.
9 years of coding experience
Master of Commerce, Business/Commerce, Business Analytics, Master of Commerce, Business/Commerce, Business Analytics at UNSW Business School
Bachelor's degree, Business Administration (Accounting), Bachelor's degree, Business Administration (Accounting) at San Diego State University