Bayesian methods, spatiotemporal modeling, and making complex quantitative work accessible.
Ph.D. in Statistics and Data Science with 5+ years of research and applied analytics. I build predictive models, operationalize complex algorithms, and bridge quantitative science with policy.
R (Rcpp, Shiny, tidyverse) • Python (NumPy, Pandas, scikit-learn) • C++ • SQL • Git • High-Performance Computing (Slurm)
Bayesian Inference • MCMC Algorithms • Spatiotemporal Modeling • Time Series Forecasting • Mixed-Effects Models • Missing Data Imputation
ETL Pipelines • Geospatial Data (ArcGIS Pro, GDAL) • API Integration • Data Quality Control • Reproducible Workflows
Scientific Writing • Presenting to Non-Experts • Mentorship • Team Collaboration • Accessibility in Quantitative Work