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Hao Liang
Mid-level Data Scientist specializing in GenAI, customer insights, and forecasting
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About
ML/AI practitioner with hands-on experience shipping production time-series forecasting and RAG-based customer insights platforms in an enterprise setting. At BASF, he improved seed sales forecasting beyond naive baselines using model selection tailored by brand size, and he also led a RAG solution over Salesforce reports, complaints, and surveys that reached 2,000+ users with strong daily engagement.
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Key Strengths
- owned end-to-end forecasting systems from data ingestion to production dashboards
- strong multivariate and deep learning time series modeling
- pragmatic model selection to reduce overfitting on small-brand datasets
- production ML deployment across DEV/QA/PROD with automated pipelines
- stakeholder-facing analytics delivery through Power BI
- applied probabilistic forecasting with P10/P50/P90 scenarios
- led an enterprise customer insights RAG platform end to end
- cross-functional QA process using business-unit power users
- built products with meaningful adoption: 2000+ users and 300-1200 daily unique users
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