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Yi-Chen (Maggie) Huang is a highly experienced professional with a diverse background in data engineering, data analysis, teaching, and research. Their most recent position was as a Field Data Engineer at Ascend.io, starting in December 2022. Prior to that, they worked as a Knowledge Base Data Engineer at FiscalNote from September 2021 to October 2022. From May to August 2021, they worked as a Data Analyst at Point Focal. They also served as a Teaching Assistant for Advanced Business Analytics at Carnegie Mellon University from October to December 2020, and as a Research Assistant at Carnegie Mellon University's Language Technologies Institute from March to August 2020. Earlier in their career, they completed an internship as a Data Scientist at Tata Consultancy Services in June and July 2020. Additionally, they have experience as a FinTech & IT Product Analyst at SYSTEX in 2018, a Data Science Analyst at AAA Taiwan from September 2017 to February 2018, and a Finance Analyst at KPMG in January and February 2017.

Yi-Chen (Maggie) Huang obtained their Bachelor's degree in Statistics from National Chengchi University in 2019. In 2020, they pursued a Master's degree in Information System Management-Business Intelligence & Data Analytics (MISM-BIDA) from Carnegie Mellon University - Heinz College of Information Systems and Public Policy.

In addition to their degrees, Huang has received several certifications. In July 2019, they obtained a Certificate in Big Data Analytics Program, a Certificate in Fintech Program, and a Certificate in Mathematical Finance Credit Program, all from National Chengchi University. Yi-Chen (Maggie) also obtained a Python Programming Certification from TibaMe ŒWÁ•¾W in July 2019, a Java Programming Certification from UCSC Silicon Valley Extension in June 2019, and an R Programming Certification from TibaMe ŒWÁ•¾W in August 2018.