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Wenjing Shan is a Quantitative Trading Analyst at SESCO Enterprises since July 2023, bringing prior experience as a Quantitative Analyst Intern at the same company and as a Research Assistant at Carnegie Mellon University - Heinz College of Information Systems and Public Policy. Educational background includes a Bachelor of Science in Statistics and Machine Learning from Carnegie Mellon University, complemented by roles as a Teaching Assistant for various courses in Algorithms, Advanced Data Structures, Modern Regression, and Probability Theory at Carnegie Mellon University. Previous internship experience includes a Business Consulting role at EY and an Investment Assistant position at ASB VENTURES PRIVATE LIMITED. Wenjing Shan also has international academic exposure at Shanghai Jiao Tong University.