Lujing Chen
About Lujing Chen
Lujing Chen is a Data Scientist with experience in various roles, including positions at Amazon and Discover Financial Services. Currently employed at Modern Health, Chen specializes in economic causal inference methods and machine learning algorithms.
Current Role at Modern Health
Lujing Chen currently serves as a Data Scientist at Modern Health, a position held since 2022. In this role, Chen applies expertise in data analysis and machine learning to support the company's mental health solutions. The focus is on leveraging data to enhance decision-making processes and improve overall business outcomes.
Previous Experience at Amazon
Lujing Chen worked at Amazon as a Data Scientist from 2019 to 2021, contributing to various data-driven projects. Prior to this, Chen held the position of Applied Scientist at Amazon for one month in 2021. This experience provided a solid foundation in applying advanced analytics and machine learning techniques within a large-scale e-commerce environment.
Educational Background in Data Science
Lujing Chen studied at Udacity, achieving a Nano Degree in Deep Learning from 2017 to 2018. Additionally, Chen completed another Nano Degree in Data Analysis in 2017. This educational background has equipped Chen with essential skills in data science and machine learning, which are applied in current professional roles.
Experience in Financial Services
Before joining Modern Health, Lujing Chen worked at Discover Financial Services as a Senior Statistician from 2017 to 2019. This role involved utilizing statistical methods to inform business strategies. Chen also interned at Ernst & Young as an Assurance Intern in Shanghai from 2015 to 2016, gaining valuable experience in financial analysis.
Authorship and Contributions
Lujing Chen is an active writer for Towards Data Science, contributing articles since 2019. Chen also authors content on Medium under the username 'learningismessy', sharing insights and knowledge in data science and analytics. This engagement reflects a commitment to the data science community and continuous learning.