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Che-Chia Chang has two years of work experience. In 2018, they worked at MoBagel as a Data Scientist and Intern. In this role, they used machine learning and analytical techniques to extract valuable information from business data. Che-Chia also designed efficient, scalable, automated processes for data analyses, model development, model validation and model implementation. Additionally, they researched and evaluated pioneering machine learning and statistical models. In 2018, they also worked at the Taiwan AI Academy as a Technology Class First Term student. In this role, they learned data processing, EDA, Machine Learning, Deep Learning including basic DNN, CNN, transfer learning, RNN, GAN and RL. Che-Chia's final project involved building an LSTM and XGBoost model for automatically generating four weeks of predictions about enterovirus, which was assigned by the Taiwan CDC.

Che-Chia Chang earned a Bachelor's degree in Applied Physics from the National University of Kaohsiung between 2012 and 2016.