Jane Hung

Jane Hung has a diverse work experience in the field of data science and analytics. Jane is currently working as the Principal Data Scientist at Expel since August 2023. Prior to this, they held the position of Senior Data Scientist at Expel from October 2022 to August 2023.

Before joining Expel, Jane worked as a Machine Learning at Scale Teaching Assistant at UC Berkeley School of Information from April 2022 to August 2022. Jane also worked as a Data Scientist at Coinbase from April 2022 to June 2022.

Jane has a strong background in data science and analytics, as evidenced by their role as a Renewals Data Scientist at Red Hat from April 2020 to April 2022. In this role, they pioneered a program for deploying machine learning models and monitoring systems, reducing retraining times and improving cross-functional communication. Jane also modernized account planning using advanced modeling techniques and automated pipelines.

Prior to Red Hat, Jane worked as a Data Engineer at IBM from January 2020 to April 2020. Jane started their career at Optum (formerly Alere Wellbeing) in 2017, where they held the positions of Data Scientist II and Business System Analyst. In these roles, they worked on various projects, including building predictive models, conducting data analysis, and presenting findings to stakeholders.

Overall, Jane Hung has a strong background in data science, machine learning, and analytics, with experience in different industries and roles.

Jane Hung has a Master of Information & Data Science degree from UC Berkeley School of Information. Jane also holds a Master of Engineering (MEng) degree in Biomedical Engineering from Duke University Graduate School. Their undergraduate degree is a BSE in Biomedical Engineering from Duke University. In addition to their formal education, Jane has obtained several certifications, including a Data Engineering Nanodegree from Udacity and certifications in various data science and programming courses from institutions such as Optum and Coursera.