Yumeng Li

Joint major in Data Science and Computer Science with internship experience at Amazon, ColAI, and Pristine Pharma Tech. Developed skills in data analysis, machine learning, and software engineering. Proficient in developing predictive models, processing large datasets, and improving data visualization in healthcare and AI sectors. Passionate about solving complex problems through innovative and data-driven solutions.

Active Member of "Women in Tech"

• Participate in coding workshops, career panels, and networking events, connect with industry professionals.

Capstone Project: "Spotify Song Popularity Analysis" - Data Analyst  

• Analyze database of 52,000 songs to examine how features influence Spotify's song popularity; Conduct data cleaning, feature engineering, plot generating, linear regression, hypothesis testing. Developed regression models and applied PCA to improve prediction accuracy, concluding that multi-feature models outperform individual features in predicting popularity and genre classification.
• Skills: Data Cleaning and Preprocessing; Regression Modeling; PCA; Statistical Analysis; Machine Learning; Data Visualization

• "Exploration of Tumor Immunotherapy and Cancer Vaccine Development Process"-Team Leader and First Author published as the proceedings of the 3rd International Conference on Biological Engineering and Medical Science (ICBioMed2023), http://dx.doi.org/10.1117/12.3012990
• Lead research to enhance CAR-T therapy by dissecting its mechanisms within tumor immunotherapy, aiming to address current limitations and proposed advancements through literature review and empirical data analysis using Python and R. Develop novel methodologies and tailor treatment strategies, contributing to a published study. Managed a diverse research team, ensuring effective collaboration from project initiation to publication.

English (native); Chinese (native); Japanese (fluent)