Linlin Cheng
About Linlin Cheng
Linlin Cheng is a Senior Data Scientist currently working at Spade in New York. With a strong academic background in Economics and extensive experience in data science roles across various organizations, Cheng specializes in model building and collaboration with stakeholders.
Work at Spade
Linlin Cheng has been employed at Spade as a Senior Data Scientist since 2024. In this role, she applies her expertise in data science to contribute to various projects. Her responsibilities include data ingestion, model building, and deploying machine learning solutions. Cheng's position at Spade marks a significant step in her career, allowing her to leverage her extensive experience in data science within a dynamic environment.
Education and Expertise
Linlin Cheng holds multiple degrees in Economics. She completed her Bachelor of Arts (BA) at New York University from 2009 to 2013, followed by a Master of Arts (MA) at the same institution from 2013 to 2014. Cheng further pursued her studies at the University of Maryland, where she engaged in PhD coursework from 2014 to 2016, achieving a Master of Arts. Her academic background provides a strong foundation for her proficiency in data science and analytics.
Background
Cheng's career in data science began with various roles in academic and corporate settings. She served as a Graduate Assistant at the University of Maryland from 2014 to 2016 and later held positions at Aetna, 2U, and CompStak®. Her experience includes working as a Data Scientist and leading teams in data science projects. Cheng has also contributed to educational institutions, including New York University, where she worked as a Teaching Assistant.
Previous Work Experience
Prior to her current role at Spade, Linlin Cheng worked in several notable positions. She was a Senior Data Scientist at Ribbon and CompStak®, where she led data science teams. Cheng also gained experience at Aetna as a Data Scientist and at 2U for three years. Her early career included internships at the United Nations and Women's World Banking, where she focused on data analytics and economic research.
Skills and Proficiencies
Linlin Cheng demonstrates a strong skill set in data science, particularly in data ingestion, model building, and deployment tools. She has a successful history of delivering end-to-end machine learning projects in production environments. Cheng is also adept at collaborating with both technical and non-technical stakeholders, enabling her to derive actionable insights from complex data sets.