About

Jeanette Nguyen is a highly skilled Machine Learning Engineer with over 4 years of relevant experience. Currently, she is working at Workday as a Machine Learning Engineer, where she is responsible for developing and implementing machine learning models to optimize business processes. Jeanette has previously worked as an Electrical Engineering Intern at General Atomics, where she was involved in the digital and analog design of PCBs that functioned to perform diagnostics on the system hardware. She executed system performance testing and validation on circuit design implementation, which increased the design functionality of previous designs and integrated them into existing systems. She also worked as an Undergraduate Researcher at Translational Neuroengineering Laboratory, where she analyzed point cloud data using Python and machine learning techniques to study the correlation between natural behavior and neural activity captured through ECoG. She preprocessed hand and head movements to extract significant data. Jeanette holds a Master's of Science degree in Machine Learning and Data Science, and a Bachelor of Science in Electrical Engineering from the University of California, San Diego. She completed her education at Fountain Valley High School. Her technical skills include ML, test, Research Scientist, and Python. She has a strong understanding of machine learning algorithms and techniques, and has experience in data preprocessing, feature engineering, and model selection. Jeanette is a dedicated and passionate individual who is committed to delivering high-quality work. She has excellent communication skills and works well in a team environment. She is always looking for new challenges and opportunities to expand her skillset.