Tangwen Zhu

Supported cross-functional teams by translating operational data into actionable insights, contributing to smoother delivery workflows. Built internal tools and lightweight applications to streamline reporting and exception handling across logistics systems. Helped improve data reliability and system integration through hands-on development and validation efforts.

• Collaborated with the senior software engineer of the company to test and enhance the company's real estate property insurance underwriting tools by constructing ML models. • Implemented Machine Learning models to classify insurance data, alongside data cleaning. • Conducted thorough exploratory data analysis to identify patterns and trends, informing project direction. • Employed NLP-based preprocessing for non-numeric data and experimented with various models such as regression and KNN for both numeric and non-numeric data individually. • Deployed models via Flask, resulting in a performance improvement of 10%. • Documented model details for patent application.

Assisted professor Embree in grading assignments for course CMDA3606: Mathematical Modeling: Tools and Techniques II

Identified trends in Gen-Z talent attraction and retainment by detailed data analysis and data visualization with Python. Proposed plausible long-term plan for Credera to gain an advantage in Gen-Z talent recruitment.

I earned my Bachelor's degree at Virginia Tech majoring in Computational modeling and data analytics -- think of it as combination of CS and DS, I also earned two minors in Computer Science and Mathematics.