Summary
Fred Yang is a Senior Data Scientist with 11 years of experience building production ML systems and data pipelines across tech and finance, currently leading data science efforts at Indeed. He has a strong track record of turning models into measurable business impact—examples include a chatbot response-suggestion engine that lifted message adoption 44% and job applications 40%, and a contextual-bandit dial recommender that generated $35M annualized incremental pretax profit at Capital One. Fred blends ML research and engineering: he led LLM topic-modeling to convert a monolithic bot into a multi-agent workflow, cut dead-end loops by 38%, and engineered batch-compatible workflows to reduce OPE processing time by 99%. He holds an MS in Information Systems Management from Carnegie Mellon and a BEng from Nanyang Technological University, with international study stints in Japan, Switzerland, and Japan’s Tokyo Institute of Technology. Known for pragmatic, cross-functional execution, he has led small teams, partnered with product and engineering, and operationalized analytics for international launches that multiplied hires in pilot markets. Colleagues describe him as a data-driven problem solver who surfaces non-obvious levers—like refining hire-signal classifiers to double international signal coverage—to unlock product and analytics value.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (BEng), Electrical and Electronics Engineering, 4.8/5.0, Bachelor of Engineering (BEng), Electrical and Electronics Engineering, 4.8/5.0 at Nanyang Technological University
High School Grauate, Liberal Arts and Sciences/Liberal Studies, High School Grauate, Liberal Arts and Sciences/Liberal Studies at Chengdu NO.7 High School 成都市第七中学
Summer Study, Industrial Engineering, Summer Study, Industrial Engineering at Tokyo Institute of Technology
Exchange Student, Electrical and Electronics Engineering, Exchange Student, Electrical and Electronics Engineering at Ecole polytechnique fédérale de Lausanne
Master's degree, Master of Information Systems Management - Business Intelligence and Data Analytics, 4.03/4.33, Master's degree, Master of Information Systems Management - Business Intelligence and Data Analytics, 4.03/4.33 at Carnegie Mellon University
English, Japanese, French, Chinese