Statistician

Statistician — Epsilon Health Analytics

Seattle, WA | September 2023 – Present

• Designed and executed 45+ randomized A/B test experiments for a high-traffic health-tech platform, resulting in a 14% increase in user retention metrics over 12 months.
• Developed predictive survival analysis models to forecast patient treatment adherence, increasing prediction accuracy by 19% and saving $140,000 in redundant outreach costs.
• Built and deployed an automated anomaly detection pipeline using Python and SQL to monitor data streams, reducing false positive alerts by 28% and saving 12 developer hours weekly.
• Collaborated with clinical research teams to write statistical analysis plans (SAPs) for 6 Phase II trials, optimizing sample size requirements to reduce clinical costs by $210,000.

Associate Statistician — Inovant Laboratories

Seattle, WA | June 2021 – August 2023

• Analyzed longitudinal cohort study datasets of 15,000+ participants, identifying 8 key health predictors and publishing findings in peer-reviewed journals.
• Created automated interactive R Shiny dashboards for 5 department leads, reducing weekly manual reporting time from 10 hours to under 30 minutes.
• Applied mixed-effects linear models to evaluate product performance, leading to a manufacturing process calibration that cut defect rates by 18%.
• Conducted statistical power analysis and experimental design audits on 12 research projects, improving data collection efficiency by 15%.

Experimental design, A/B testing, Hypothesis testing, Regression analysis, Multivariate analysis, Survival analysis, Bayesian inference, Mixed-effects modeling, Time series forecasting, Machine learning, R, Python, SQL, SAS, Tableau, Git

Predictive Treatment Adherence Model

Role: Lead Statistician

Tools: R, Python, SQL, Git

Developed and deployed a logistic regression and random forest modeling pipeline to predict patient dropout rates, resulting in a 24% reduction in clinical trial attrition.

Experimental Design Optimization Engine

Role: Statistician

Tools: R, R Shiny, Docker

Created an internal web application for automated power calculation and sample size estimation, reducing research team prep time for studies by 35% and saving $45,000 in software licensing fees.

• Graduate Statistician (GStat) (2021)
• Certified Analytics Professional (CAP) (2023)

• Languages: English (Native), French (Conversational)
• Professional Memberships: American Statistical Association (ASA), Institute of Mathematical Statistics (IMS)
• Publications: Co-authored 3 publications in the Journal of Applied Statistics (2022–2024)
• Availability: 2 weeks notice