Flora Jiang is a data engineer with eight years of experience combining a Mathematics of Computation degree from UCLA with hands-on analytics, ETL, and full‑stack development. She has built production data pipelines and serverless solutions on AWS and GCP, developed recommendation systems and NLP models, and turned marketing and product telemetry into actionable reports and visual dashboards. Flora brings strong data‑mining and modeling skills (R, Python, XGBoost, k‑means) plus practical engineering experience maintaining Node.js APIs and React front ends. Her background spans end-to-end projects—from web scraping and database design to automated monthly reporting—highlighting an ability to own features from research to production. Colleagues rely on her for balancing analytical rigor with pragmatic delivery in fast-moving startup environments.
8 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Mathematics of Computation, Bachelor’s Degree, Mathematics of Computation at University of California, Los Angeles
Contributions:11 commits, 8 pushes, 1 branch in 2 years 6 months
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