Factorial Design & ANOVA
Designed a 2x3 randomized block experiment, conducted power analysis and stratified randomization, and modeled interaction effects in R.
I’m a UCLA Data Science graduate with hands-on experience in experimental design, predictive modeling, survival analysis, and large-scale data analytics using R, Python, and SQL.
I earned my Bachelor of Science in Data Science from UCLA in August 2026. My academic work focused on computational statistics, Monte Carlo methods, experimental design, regression, statistical consulting, and mathematical modeling.
I have built analytical pipelines for million-record datasets, trained predictive models, designed randomized experiments, and communicated multivariate findings through clear visualizations and practical recommendations.
Designed a 2x3 randomized block experiment, conducted power analysis and stratified randomization, and modeled interaction effects in R.
Built an R pipeline for 1M+ LAPD records, isolated 115,000+ vehicle theft cases, and identified significant temporal and spatial risk factors.
Integrated 100K+ enrollment records, forecast under-enrollment risk, and modeled student attrition with Kaplan-Meier survival curves.
Boba Barista (03/2023-11/2023) | Lead Supervisor (11/2023-Present)
Direct daily shift operations, manage inventory and quality inspections, prepare end-of-shift reports, and coach new team members.
Cashier (01/2019-03/2023)
Processed high-volume POS transactions, resolved customer inquiries, and followed food safety, sanitation, and inventory protocols.
Review my education, technical skills, analytical projects, and professional experience in a structured web format or download the original PDF.
I’m interested in data science and analytics opportunities where statistical modeling and clear communication can support better decisions.
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