Jason Zhang is a Senior Data Scientist with 11 years of experience blending software engineering, data modeling, and analytics to drive product and security outcomes across ecommerce and enterprise clients. He has led cross-functional teams and large-scale data initiatives—from building petabyte-scale Python/Spark pipelines at eBay to designing multi-layered data hubs for Novartis—delivering measurable cost savings and risk reduction. His strengths include advanced statistical modeling, time series and segmentation analyses, and pragmatic machine learning applied to business problems like fraud detection and demand forecasting. Comfortable working across SQL, NoSQL, cloud data warehouses, and BI tools, he pairs technical depth with clear bilingual (English/Chinese) communication to align stakeholders. Notably, he’s turned forensic transaction analysis into real-time abuse signals at scale and achieved operational wins such as halving car losses for Trip.com, reflecting a knack for turning complex data into actionable, high-impact solutions.
Contributions:24 pushes, 4 branches, 2 tags in 10 years 2 months
apachebig-datasparkscalaapache-spark
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