Data Scientist | Machine Learning Engineer
Download ResumeI am an M.S. Data Science student at UC San Diego with a solid foundation in experimental data analysis from a Physical Sciences background. I specialize in translating ambiguous product questions into measurable KPIs and building robust modeling pipelines. My passion lies in extracting meaningful signals from noisy real-world data and empowering cross-functional teams with actionable, data-driven insights.
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.