Scott Hu is a Senior Data Scientist with nine years of experience blending rigorous statistical modeling and scalable engineering to drive product and operational improvements in mobility and finance. Trained in Math of Computation & Statistics at UCLA and pursuing a master’s at Georgia Tech, he has led A/B experiments, time-series forecasting, and incentive/pricing analyses at DiDi that directly improved driver participation, order completion, and GMV. He pairs hands-on data engineering—building Spark/Hive pipelines and city-scale dashboards—with causal and machine learning methods (XGBoost/LightGBM) to turn complex signals into actionable strategy. An active full-stack open-source contributor, Scott authored caching and middleware enhancements for alova.js, showing a practical eye for performance and developer experience beyond core data science. Based in Los Angeles, he’s equally comfortable aligning cross-functional stakeholders and shipping productionized analytics that influence seasonal and city-level decisions.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree Math of Computation & Statistics, Bachelor's degree Math of Computation & Statistics at UCLA Mathematics
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
Workflow-Streamlined next-generation request tools. Extremely streamline API integration workflow, just one step
Role in this project:
Full-stack Developer
Contributions:294 releases, 28 reviews, 123 commits in 4 months
Contributions summary:Scott primarily contributed to the Alova project by implementing and improving caching mechanisms. They added support for setting cache expiration using Date instances and enhanced the cache behavior with the ability to be configured globally. The user's work also involved improving the middleware and integrating it to cache operations. These changes were accompanied by unit tests to ensure proper functionality and edge cases.
Contributions:9 PRs, 76 pushes, 2 branches in 1 year 4 months
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