Summary
Ziqi Pan is a data-driven Graduate Research Assistant based in the New York City area with 8 years of experience applying machine learning, web crawling, and statistical analysis to large, messy datasets. She has built robust crawlers with Scrapy and Selenium to collect and clean hundreds of thousands of app records and images, then applied NLP and transfer learning (Inception V3/TensorFlow) to classify app quality and surface actionable recommendations. Previously a marketing data analyst and management trainee, she used classical ML (random forest, SVM) and regression to inform product and customer decisions across enterprise settings. Known for combining practical engineering—end-to-end data pipelines and image-model fine-tuning—with business-focused reporting, she translates technical findings into clear strategy. An under-the-hood strength is her knack for turning unstructured web data into reproducible datasets that drive research and product insights.
8 years of coding experience
2 years of employment as a software developer
Business Analytics, Business Analytics at Fordham University
undergraduate, Finance, undergraduate, Finance at Jilin University