Haitian Ling is an Associate Data Scientist with 9 years of experience blending statistics, mathematics and software engineering to drive data-driven decisions at Gartner. He builds end-to-end ML solutions—productionizing Gradient Boosting forecasting models and automating feature pipelines with Python, scikit-learn and Spark—and is fluent in R, SAS and SQL/noSQL ecosystems. His work spans visualization and delivery, creating dashboards and interactive tools with Tableau, RShiny and Bokeh to translate analysis into stakeholder-ready insights. Academically strong (MS Statistics, UIUC) and research-minded, he published a paper on precipitation prediction using Gaussian Mixture Models and developed a web-crawling pipeline for meteorological data. Pragmatic and detail-oriented, he focuses on reproducible pipelines and tooling that accelerate exploratory analysis for his team.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Mathematics, 3.41, Bachelor of Science - BS, Mathematics, 3.41 at East China University of Science and Technology
Contributions:9 commits, 7 pushes, 1 branch in 11 days
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