Bonian Lu

Bonian Lu has four years of work experience. In 2021, they were a Research Assistant at Auburn University Harrison College of Pharmacy. In 2022, they were a Data Scientist at FocusKPI, Inc. and a Data Scientist Intern at FDB Technology Inc., where they were responsible for data ETL and visualization using Python and Tableau, using NLP to do Entity Extraction, and Time Series Forecasting using ARIMA and Prophet. From 2016 to 2021, they were a Graduate Assistant at Auburn University, Samuel Ginn College of Engineering, where they developed a Transfer Learning framework to detect Autism Spectrum Disorder (ASD) and balanced skewed dataset by oversampling using VAE.

Bonian Lu's education history includes a Doctor of Philosophy - PhD in Electrical and Electronics Engineering from Auburn University from 2015 to 2022, and a B.E. Electrical Engineering and Automation from Hunan University from 2010 to 2014. In addition, Bonian has obtained various certifications from Udemy, Coursera, and The AI Institute, including SQL-MySQL for Data Analytics and Business Intelligence, AI Workflow: Data Analysis and Hypothesis Testing, AI Workflow: Feature Engineering and Bias Detection, AI Workflow: Machine Learning, Visual Recognition and NLP, The Certificate of Training, Databases and SQL for Data Science with Python, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, Neural Networks and Deep Learning, R Programming, and The Data Scientist's Toolbox.