Summary
Shengli Zhang is a senior data scientist with nine years of experience applying advanced statistical modeling, machine learning, and large-scale signal processing to finance, remote sensing, and B2B marketing problems. He has built end-to-end forecasting and trading-signal platforms— including a global voyage model and Baltic Index indicators—handling massive ship-message streams and rigorous back-testing to control overfitting and volatility. Comfortable in production environments, he has implemented ML CI/CD pipelines across modern toolchains (Kubeflow, Snowflake, GitLab/Jenkins) and currently drives data-driven customer acquisition and personalization at AWS Marketplace. Trained as a mechanical engineer and PhD researcher, Shengli blends physical-system modeling and numerical methods with practical ML to solve complex time-series and tracking challenges. Colleagues rely on him for scalable algorithm design and insightful visualizations that turn noisy telemetry into actionable decisions.
9 years of coding experience
15 years of employment as a software developer
Bachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Northwestern Polytechnical University
Doctor of Philosophy (Ph.D.), Mechanical Engineering, Doctor of Philosophy (Ph.D.), Mechanical Engineering at University of Connecticut
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at Xi'an Jiaotong University