Yihua Liu
About Yihua Liu
Yihua Liu is a Data Scientist II at Simis Inc., specializing in predictive analytics and e-learning metadata strategies. He holds a Bachelor's degree in Mathematics from the University of California, Berkeley, and a Master's degree from the University of Central Florida.
Work at SimIS
Yihua Liu has been employed at SimIS Inc. as a Data Scientist II since 2018. In this role, Liu focuses on data analysis and predictive modeling, contributing to various projects aimed at enhancing data-driven decision-making. Liu's work involves utilizing advanced analytics techniques to improve the understanding of learner behaviors and outcomes.
Education and Expertise
Yihua Liu holds a Bachelor's degree in Mathematics from the University of California, Berkeley, where studies were completed from 2008 to 2011. Liu further advanced education by obtaining a Master's degree from the University of Central Florida between 2015 and 2016. This educational background provides a strong foundation in quantitative analysis and statistical methods, which are essential for a career in data science.
Background
Prior to joining SimIS, Yihua Liu worked as a Business Analyst at Accenture in Dublin, Ireland, from 2012 to 2013, and at Vonly in Santa Clara, California, from 2017 to 2018. These roles involved analyzing business processes and providing insights to improve operational efficiency. Liu's experience in these positions contributed to a well-rounded understanding of both business and technical aspects of data analysis.
Achievements
Yihua Liu co-authored an e-learning metadata analytics strategy that was distributed across the Department of Defense. Liu also chaired a stakeholder working group focused on the adoption and implementation of this strategy. Additionally, Liu improved learner behavior prediction accuracy using a long short-term memory recurrent neural network (LSTM RNN) model, demonstrating expertise in machine learning applications.
Technical Skills
Yihua Liu possesses strong technical skills in data visualization and analytics. Liu has created and maintained interactive Tableau dashboards for client leadership and project principals, enhancing the ability to communicate data insights effectively. Liu's proficiency in using Experience API (xAPI) student log data has also been demonstrated through the prediction of course completion with a Matthews correlation coefficient of 0.51.