About

Garrick Chu is an experienced financial analyst and data engineer currently working as a contractor for Apple through Collabera. With a strong background in financial markets and investment management, Garrick leverages his skills in Data Science, including Machine Learning, Statistical Inference, and Predictive Modeling, to deliver mission-critical business intelligence and analytics. He has a proven track record of using data to drive product improvements and business decisions, with a focus on effective storytelling and communication to teams at all levels. Garrick has worked with a range of companies, including Q Analysts LLC, where he served as a Data Engineer Consultant onsite at Facebook's Applied Machine Learning Speech Team. There, he was responsible for ETL of speech and audio data to support Research Scientists and Software Engineers in the development of Automatic Speech Recognition models. Additionally, he built and iterated on dashboards to drive high-level business decisions with real-time data pipelines, created a Speech Error Classification Dashboard which contributed to a 91% reduction in Name Hallucinations and an 8% gain in Sentence Error Rate, and conducted analysis of benchmarking and competitive evaluation data and communicated findings to Product Managers, Research Scientists, and the CTO. Garrick's experience also includes work as a Data Science Intern at Lunar Digital Assets, where he was the resident Data Scientist advising and prioritizing projects and initiatives in the Cryptocurrency and Blockchain space. He is currently working to construct a data ETL pipeline of market data from REST API for internal analytics, build models using Logistic Regression and Decision Trees to predict the likelihood of ICO fraud/scam, and perform statistical analysis and hypothesis testing to assess ICO performance in different market environments. Garrick holds a BA in International Relations - World Trade and Development from the University of California, Davis, a Certificate Program of Accounting from the University of California, Berkeley, and a Data Science Intensive Bootcamp from Springboard. He is skilled in Data Engineering, Data Science, Research Science, ETL, ML, QA, Python, Web, Senior Software Engineering, Blockchain, Apache Hive, and test. With over 10 years of relevant experience, Garrick is a talented and driven professional with a passion for using data to drive business success.