Emily Ye Email & Phone Number

• Assisted in a full-stack web development course with 70+ students, facilitating their understanding of front-end and back-end technologies, including HTML, CSS, Javascript, Node.js, NoSQL databases and API integration.• Conducted office hours to provide individual support for students, answering questions and helping with debugging. • Evaluated and provided feedback on programming assignments focusing on code quality and areas for improvement.

• Built a machine learning model to analyze key predictors of daily stress among midlife adults, discovering correlations between stress and lifestyle factors such as work, physical health and emotional support. • Collaborated with consulting firm to provide insights for improving worker productivity and workplace culture by detecting underlying causes of worker stress.• Performed data cleaning and preprocessing using Python libraries (SciPy, Pandas), identifying and handling missing… Show more • Built a machine learning model to analyze key predictors of daily stress among midlife adults, discovering correlations between stress and lifestyle factors such as work, physical health and emotional support. • Collaborated with consulting firm to provide insights for improving worker productivity and workplace culture by detecting underlying causes of worker stress.• Performed data cleaning and preprocessing using Python libraries (SciPy, Pandas), identifying and handling missing values and outliers. Show less

Mit Schwarzman College Of Computing

• Selected from over 3,000 applicants for the Break Through Tech AI Program.• Developed machine learning and artificial intelligence skills throughout the use of industry relevant tools, earning an online certification from Cornell.• Collaborated in teams to create industry-related AI projects, working closely with industry advisors.• Established leadership and collaboration skills while focusing on the ethical application of AI/ML for social good.

Human Factors Engineering Idea Lab

• Utilizing generative AI and machine learning algorithms to develop an evolutionary design system which evaluates user input and feedback to generate arrays of product images converging to the user's envisioned product.

Boston, Massachusetts, United States

• Worked in a group of 4 to develop a mobile web application for Boston City Council District 4.• Sought to increase civic engagement and resident communication with their local government by implementing features such as an interactive events calendar and announcements page.

New Hyde Park, New York, United States