Evelyn(xiaojian) Lian
About Evelyn(xiaojian) Lian
Evelyn (xiaojian) Lian is a Junior Data Scientist with extensive experience in data analysis and visualization. She holds two Master's degrees in Data Science and Chemistry, and has worked in various roles within the Greater Chicago Area since 2014.
Work at Accel Entertainment
Evelyn Lian has been employed at Accel Entertainment as a Junior Data Scientist since 2019. In this role, she applies her expertise in data analysis to support various projects within the organization. Her responsibilities include data preparation, cleaning, and the creation of data visualization dashboards. She utilizes her skills in programming languages such as R, Python, and SQL to analyze data effectively.
Education and Expertise
Evelyn Lian holds a Master's degree in Data Science from the Illinois Institute of Technology, which she completed from 2016 to 2018. Prior to this, she earned another Master's degree in Chemistry at the same institution from 2013 to 2016. Her educational background also includes a Bachelor's degree in Pharmacy from Tianjin University of Technology, completed from 2009 to 2013. This diverse educational foundation supports her analytical skills and technical knowledge.
Previous Work Experience
Before joining Accel Entertainment, Evelyn Lian gained valuable experience in various roles. She worked as a Teaching Assistant at the Illinois Institute of Technology from 2014 to 2015. In 2017, she served as a Data Scientist Intern at LaunchPoint Corporation for three months. Following this, she worked as a Data Analyst at Klein Consulting, LLC from 2018 to 2019, where she further developed her data analysis skills.
Technical Skills
Evelyn Lian possesses hands-on experience in data preparation and cleaning, which is essential for effective data analysis. She is proficient in creating data visualization dashboards using tools such as Power BI and Tableau. Additionally, she has experience with big data tools including Hive, Spark, NoSQL, and Hadoop, which enhances her ability to work with large datasets. Her programming skills in R, Python, and SQL further contribute to her capabilities as a data scientist.