Jingqing Q is a Senior Data Analyst with seven years of experience translating complex financial and product data into high-impact recommendations at organizations including Capital One, Meta, and Tencent. Comfortable across SQL, Python, Tableau/Power BI and data pipeline governance, she combines rigorous applied statistics training from Columbia with hands-on machine learning and A/B testing to drive product and risk optimization. At Meta she automated regression modeling on millions of users and produced actionable insights to boost transactions, and at Hill Research and Capital One she has led cross-functional analytics that inform strategic decisions. Known for blending analytical rigor with an artistic sense for visualization, she excels at turning messy data into clear narratives that mobilize product, engineering and business teams.
6 years of coding experience
1 year of employment as a software developer
Summer, logic, 4.0/4.0, Summer, logic, 4.0/4.0 at University of Wisconsin-Madison
Bachelor's degree, Economics, Bachelor's degree, Economics at CUHK Business School
Master of Science - MS, Applied statistics, Master of Science - MS, Applied statistics at Columbia University in the City of New York
Bachelor's degree, Economics, Bachelor's degree, Economics at The Chinese University of Hong Kong, Shenzhen 香港中文大学(深圳)
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.