Alexander Liu

Background

About Alexander Liu

As a research assistant and a master's student in data science at University of Michigan, I am passionate about software development and producing data-driven insights. I have experience designing and engineering efficient data analysis pipelines, conducting data exploration and feature engineering, implementing stratified multiclass regression and deep learning models, and utilizing statistical tests and NLP techniques. Additionally, I have multiple publications in the fields of recommendation system auditing and GPU hardware parallelization architectures and algorithms. Lastly, I enjoy communicating technical concepts and insights effectively, through teaching, presentations, and exercises. I am interested in full-time SWE, ML, and DE positions that leverage my skills and domain expertise.