Mimi Zheng is a skilled professional with extensive experience in data analysis and operations. Currently serving as a Data Annotator/AI Trainer at DataAnnotation since April 2024, Mimi previously worked as a Data Analyst at PSYFI, where responsibilities included developing data processing pipelines and conducting sentiment analysis using Python. With a robust background in trade settlement from Ascribe Capital, where approximately $2 billion in trades were settled, Mimi has demonstrated expertise in compliance, inventory management, and client services across various roles. Educational achievements include a Master of Business Administration from Webster Graduate School and a Bachelor of Science in Financial Economics from Binghamton University, along with ongoing data engineering coursework through Coursera.
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