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Yifan Jiang is a Data and Policy Analyst - Statistical Programmer at Acumen, LLC. Previously served as a Data Scientist Intern at AILaw and a Data Analyst Intern at PwC SDC Shanghai. Holds a Master of Science in Data Science from the University of Rochester and a Bachelor of Science with a double major in Statistics and Economics from the University of Washington. Known for designing a knowledge graph model using NLP and page rank to simplify the searching process of Code of Federal Regulation, implementing the model into a Neo4j graph database, and improving collaborations between tech and non-tech staff.