Summary
Jack Yip is a data engineer with nine years of experience applying machine learning, statistical modeling, and distributed computing to solve business problems at scale, most recently joining Meta after a six-year senior data engineering tenure at Amazon. He blends a finance and international business background from NYU Stern with practical data science training to translate ambiguous requirements into robust data pipelines and analytical models. Skilled across Python, R, Spark/Hadoop, and SQL, he has delivered production-ready solutions using XGBoost, time series, NLP, and ensemble methods. Comfortable in Agile environments, he pairs strategic planning and vendor management experience from consulting with hands-on engineering execution. Outside of work he contributes to the data community via a NYCDSA blog presence and maintains a GitHub portfolio, reflecting both technical curiosity and a knack for practical, reproducible analytics. An avid pool player and nature lover, he brings quiet competitiveness and focus to collaborative, outcome-driven teams.
9 years of coding experience
9 years of employment as a software developer
East China Normal University
NYC Data Science Academy
Bachelor’s Degree Finance and International Business, Bachelor’s Degree Finance and International Business at NYU Stern School of Business
UNSW Sydney
English