Evelyn Lian
About Evelyn Lian
Evelyn Lian is a Junior Data Scientist at Accel Entertainment, where she has worked since 2019. She specializes in machine learning, data analysis, and the use of Azure tools to manage and analyze data.
Work at Accel Entertainment
Evelyn Lian has been employed at Accel Entertainment as a Junior Data Scientist since 2019. In this role, she utilizes various technologies and methodologies to enhance data analysis and predictive modeling. Her work involves collaborating with internal stakeholders to define metrics and build Key Performance Indicators (KPIs) using Power BI dashboards. This position has allowed her to apply her skills in machine learning and data management within the gaming and entertainment industry.
Education and Expertise
Evelyn Lian holds two Master's degrees from the Illinois Institute of Technology. She earned her first Master's in Chemistry from 2013 to 2016 and subsequently completed her Master's in Data Science from 2016 to 2018. Additionally, she obtained a Bachelor's degree in Pharmacy from Tianjin University of Technology, studying from 2009 to 2013. This educational background provides her with a strong foundation in both scientific principles and data analysis techniques.
Background
Before joining Accel Entertainment, Evelyn Lian gained diverse experience in data science and analysis. She worked as a Teaching Assistant at the Illinois Institute of Technology from 2014 to 2015. She also served as a Data Scientist Intern at LaunchPoint Corporation for three months in 2017 and worked as a Data Analyst at Klein Consulting, LLC from 2018 to 2019. This range of roles has contributed to her expertise in data-driven decision-making.
Machine Learning and Data Modeling
Evelyn Lian has developed machine learning models, including Random Forest and Linear Regression, to predict potential customer revenue. She has also created a time series model to forecast ATM cash demand. These projects demonstrate her ability to apply advanced analytical techniques to real-world business problems, enhancing her contributions to the organizations she has worked with.