People / Students / Class of 2025
Yishi Wang graduated from New York University with a double major in Mathematics and Computer Science. During his undergraduate studies at NYU, he acquired a solid background in mathematics and mastered programming languages including Python, JavaScript, R, C, C++, C#, and Java. Aspiring to enhance his ability to draw critical insights from large-scale data, he applied his expertise in transformers, natural language processing (NLP), and time-series models into a series of research projects in the healthcare, geological science, and environmental science industries. His drive for impactful insights from datasets first grew while he worked as a research assistant at the Disaster Risk Analysis Lab, predicting power outage rates and recovery speeds after hurricanes in the New Jersey coastal area. He fine-tuned Prior-Data Fitted Network (PFN), gradient boosting, and statistical models to improve prediction accuracy and obtain permutation importance. In addition, he developed a Flask-based web application that integrates an automated ETL process to display predicted power outage rates for upcoming hurricanes. This project highlighted the potential of data science in crisis management and resource allocation for high-risk communities, fueling his ambition to create real-world impacts in wider explorations. During his last internship as data analyst at Shanghai eBay Inc., Yishi designed dashboards to detect risky seller performance, utilizing Python scripts and Tableau server. He monitored seller’s Flagged transaction data and analyzed the correlation between subscription fees spike and risky seller performance, yielding more accurate expense forecasting. As an incoming student in Northwestern University's MLDS program, Yishi is excited to engage in robust industry interaction and curricula that skillfully intertwine analytics with deep learning and computer science. After graduation, he looks forward to becoming a data scientist, creating innovative solutions that connect academic research with business applications.
