Summary
Phillip Lagoc is a product analyst specializing in gaming with 8 years of experience building scalable ML and NLP systems for large-scale data and a focus on turning messy data into actionable product insights. Based in San Jose, he has driven analytics at Sensor Tower since 2020, blending product-facing work with rigorous research skills honed through NER and temporal annotation projects in academia. He reduced tagging false positives by 56% and cut data-gathering costs in half through targeted preprocessing and cloud optimizations, demonstrating a strong mix of experimentation, visualization, and cost-conscious engineering. A storyteller at heart, Phillip communicates technical findings clearly—he also writes about his work and plays video games, which informs his domain expertise in gaming analytics. Currently pursuing a CS master’s at Georgia Tech, he pairs formal ML training with hands-on product analytics to bridge research and practical impact.
8 years of coding experience
2 years of employment as a software developer
University of California, San Diego
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
Spanish