HENRY ZHONG
Hello and Welcome!
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MISSION
Objective Function
Contribute to the research, development, design, creation and operation of artificial intelligence in order to expand biological intelligence through space, extend biological intelligence through time, and explore biological intelligence through art.
EXPERIENCE
Performance on Validation Data
RESEARCH MANAGER,
YAHOO! INC.
February 2016 - Present
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Designed, trained, fine-tuned and utilized machine learning models to extract and synthesize insights from first party data signals (e.g. mail, search, site traffic data, etc.) and primary research data, which influenced over $20MM in sales revenue each quarter
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Managed and executed multiple quantitative consumer research studies that positioned Yahoo! as a thought leader in the auto and finance vertical and essential partner to clients and advertisers in those verticals
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Partnered with sales account leads in pitching and presenting to potential clients by leveraging Yahoo! first party data signals and measurements, which led to multiple $1MM+ partnerships each year
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Improved team productivity by designing and creating multiple data dashboards that enabled sales account directors, account managers, and sales support teams to directly access third party and first party data without assistance from the research team
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Trained team members on how to use linear/logistic regression models, large language transformer models, and unsupervised clustering models to generate insights from first party data and primary research data
STRATEGIC DIRECTOR,
KANTAR (FORMERLY KANTAR ADDED VALUE)
August 2014 - February 2016
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Oversaw primary segmentation research projects focused on growth identification and brand positioning for multiple fortune 500 clients totaling $5MM in revenue
Developed innovation platforms that identified market opportunities for product portfolio of leading CPG manufacturer using occasion-based segmentation framework derived from primary research data -
Created marketing sizing methodology for leading CPG manufacturer to estimate the value of new marketing opportunities for its key brands
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Led white paper research for major social media platform, which facilitated the platform’s marketing push to be known as a top provider of branded content online
SENIOR CONSULTANT,
PUBLICIS SAPIENT
(FORMERLY ROSETTA MARKETING GROUP)
March 2013 - August 2014
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Managed and developed 13-country global taxonomy segmentation in consumer technology totaling over $2MM in revenue, which became the overarching marketing paradigm across multiple business groups within the client organization
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Created sell-in pitch decks for a major consumer technology client used to drive sales of new products at major retailers and guide the retailer’s marketing messaging and communication for those products
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Managed and executed US consumer shopping behavior segmentation internal initiative in the apparel, consumer electronics, grocery, and hotel industry to support new project proposals and capability pitches and strengthen the Rosetta brand in the marketplace
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Led the development of global marketing persona targets in 31 countries for major consumer technology client using primary and secondary research data, which were adopted by the client organization in its global marketing and advertising campaigns
RESEARCH MANAGER,
LIEBERMAN RESEARCH WORLDWIDE
January 2010 - February 2013
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Led and executed multiple quantitative market research projects, including concept tests, brand trackers, and market segmentations for various Fortune 500 clients totaling over $3MM in project revenue
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Oversaw all phases of research projects, including survey development and implementation, data collection, analysis, and report development
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Developed story-driven and action-oriented insights and recommendations focused on guiding each client’s specific business decisions through in-depth analysis of primary research data
EDUCATION
Model Training
December 2022
THE UNIVERSITY OF TEXAS AT AUSTIN
M.S. COMPUTER SCIENCE
GPA: 3.7
Relevant Coursework:
Machine Learning, Deep Learning, Natural Language Processing, Reinforcement Learning, Optimization, Optimization and Online Learning, Case Study in Machine Learning
December 2009
UNIVERSITY OF SOUTHERN CALIFORNIA
B.A. ECONOMICS
B.A. PSYCHOLOGY
SKILLS
Weights and Biases
PYTHON
PYTORCH
TENSORFLOW
SQL
HIVE
