With over eight years of IT experience and a wealth management certification, I am a senior machine learning engineer at Vanguard, one of the world's largest investment companies. I work with the customer advice growth team to design, implement, and operationalize ML and data pipelines that produce model inference and features for data scientists. My mission is to leverage my ML engineering and data science skills to deliver scalable and robust analytics solutions that help Vanguard grow its customer base and provide better financial advice. I have hands-on experience in conducting product research, developing data-mining products, and applying AI/ML techniques to improve business processes such as customer propensity modeling, sentiment analysis, and A/B testing. I am proficient in Python, R, PySpark, and AWS services, and I enjoy collaborating with cross-functional teams to solve complex data problems.