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Hugo Xiaoguang is a data analyst who currently works for Higher Rewards. Hugo previously worked as an undergraduate research apprentice at the University of California, Berkeley, where they redesigned R code and decreased complexity by 50%. Hugo has also worked as a data science intern at Higher Rewards, where they engineered analysis framework in R and analyzed credit card transaction behavior patterns through data manipulation and visualization packages dplyr and ggplot2 in the tidyverse environment.

Hugo Xiaoguang has a Bachelor of Science in Economics from the University of California, Berkeley. Hugo also has an undergraduate minor in Data Science from UC Berkeley. Additionally, they have a Managerial Economics certification from Sacramento City College. Finally, they have various certifications from DataCamp in topics such as Statistics with R, Analyzing Survey Data in R, Dealing With Missing Data in R, Handling Missing Data with Imputations in R, Survey and Measurement Development in R, A/B Testing in R, Experimental Design in R, Generalized Linear Models in R, Hypothesis Testing in R, Modeling with Data in the Tidyverse, and Sampling in R.

Their manager is Andrew MacDonald, Chief Technology Officer.