About

Andrew Wen is a skilled Machine Learning Engineer with over 4 years of relevant experience. Currently working at USAA, he is responsible for implementing Machine Learning models, refactoring Python code, and creating data pipelines with Python scripts. Andrew's goal is to continue working for companies he supports while continuously learning practices from the industry's best. Prior to his current role, Andrew worked as a Data Engineer and ETL Developer at USAA. In his role as a Data Engineer, he provided solutions to business users in the Data Analytics team, including ELT/ETL using Datastage, scheduling jobs in Control-M, and data warehousing. Andrew's experience in ETL development has equipped him with the skills necessary to excel in his current role as a Machine Learning Engineer. Andrew holds a Bachelor of Science degree in Computer and Information Systems Security/Information Assurance from California State Polytechnic University, Pomona. His education has provided him with a strong foundation in the technical skills required for his current role, including ML, Python, Data Engineering, and ETL. With a diverse tech stack and a passion for continuous learning, Andrew is a valuable asset to any team. He is committed to delivering high-quality work and providing solutions that meet the needs of his clients. Andrew's dedication to his work and his desire to stay up-to-date with the latest industry practices make him a valuable addition to any organization.