Janessa Pong Email & Phone Number

Seattle, Wa, Us

San Francisco, Ca, Us

San Francisco Bay Area

Design, audit, and deliver 98% accurate data labeling projects that are directly used to build models that provide services such as content moderation, copyrighting, marketing analytics, and deepfake detectionCollaborate with ML, Product, and Media teams to create datasets to train and increase model precisionManage 7 concurrent projects, identifying pain points while maintaining high work quality and ownershipAchieving 90%+ margins on all projects by dynamically optimizing spending and modeling costs daily

Singapore, Singapore

Worked with 7 potential or existing clients across 6 industries and multiple countries in Southeast Asia, assisting them with proposal building, workshops, customer journey maps, and competitor app researchSupported a major German auto manufacturer's new e-commerce EV DTC strategy proposal through best-in-class UX research, competitor analysis tables, UI design, and Salesforce tools; created 14 new features used in the final RFPProposed a website redesign, native app, and EV ecosystem for one of Indonesia's largest car parts manufacturers as part of a two-person team; conducted research on local landscape and EV policies to develop 50+ slides of RFP’s UX sectionDeveloped a proposal for Indonesia’s top bank to improve rural banking access with lite apps and WPAs

Montreal, Quebec, Canada

Independently researched, wrote, and published applied behavioral insights to attract consulting clientsDesigned UX and generated content for a mental health website and app by the Government of CanadaLed recruitment of user research team leads, designing focus group protocols with mental health expertsSynthesized focus group data for NLP compatibility, researched and supported machine learning analysis

Los Angeles, California, United States

This project is an attempt to compile as much historical data on interstate wars as possible. This involved sifting through hundreds of historical primary sources as well as organizing and cleaning data in excel. The goal was to produce a modern, quantitative data set that could be used by machine learning models and modern technology to analyze, understand, and predict international conflict.

Bachelor Of Science - B.S., Cognitive Science, Specialization In Computing, 3.95

Activities and Societies: UCLA Women's Rugby, Alpha Kappa Psi, CruX Neurotech, Intramural Volleyball, Creative Labs

High School Diploma, 4.0 Unweighted Gpa, 93% Academic Average

Activities and Societies: Varsity Volleyball, Varsity Rugby, Vocal Jazz, Debate & Model UN, SPARC, BEAT, Amnesty International