Jie Hou
Data Scientist | Machine Learning Engineer
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Data Scientist | Machine Learning Engineer
Download ResumeM.S. Data Science student with a solid foundation in experimental data analysis (Physics and Materials Sciences background) and applied machine learning. Experienced in translating ambiguous product questions into measurable KPIs and building robust modeling pipelines to support data-driven decisions. Skilled in experimentation, causal inference, and time-series analysis, with a track record of extracting meaningful signals from noisy real-world data and communicating actionable insights to cross-functional teams.
Designed and executed A/B tests to validate UI/UX workflows. Conducted power analysis and evaluated statistical significance, providing actionable rollout strategies based on true causal impact.
Engineered a modular pipeline to transform noisy, real-time behavioral signals into interpretable features. Designed a robust framework to optimize action thresholds under uncertainty using trend decomposition.
Built an end-to-end NLP pipeline fine-tuning DistilBERT to address extreme class imbalance. Improved rare-event detection F1-Score to 0.84 and reduced false positives by 10% in simulated settings.
Conducted research on experimental data analysis.
Assisted with physical sciences research and data collection.
