Summary
Yiran Jia is a data analyst and Business Analytics master's candidate at Washington University in St. Louis with eight years of applied experience combining customer analytics, visualization, and machine learning. She has practical experience driving marketing and product recommendations—segmenting e-commerce customers with RFM and SQL, conducting A/B tests, and presenting targeted strategies to boost brand awareness. Proficient in Python, R, Tableau, Hadoop and TensorFlow, she blends deep learning and text-mining skills with hands-on visualization and prescriptive analytics to turn complex datasets into actionable insights. Her consulting work across nonprofits and small businesses improved program participation and operational reporting, demonstrating an ability to translate analytics into measurable impact. A former teaching assistant in data visualization and Python, she is comfortable explaining technical methods to nontechnical stakeholders. Unusually, her profiles reflect cross-disciplinary interests—from product prototyping with Axure to a GitHub bio suggesting prior geophysics study—indicating intellectual curiosity beyond pure analytics.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Business Analytics, 3.94/4.00, Master's degree, Business Analytics, 3.94/4.00 at Washington University in St. Louis
Business Analytics, 3.65/4.00, Business Analytics, 3.65/4.00 at Macau University of Science and Technology