Portfolio

A handful of projects I'm proud of, spanning equipment pricing, genomics, and plant breeding — the kind of work I keep coming back to when explaining what I actually do all day.

CAT Used Price Advisor

I lead the ML models behind this dealer-facing tool, which prices more than 70,000 pieces of equipment worth over $12B.

Predictive Modeling Python MLOps

Hedonic Price Index

I built an index that separates real market price movement from quality differences, now used by CAT Financial and senior leadership to sharpen pricing strategy across sale channels.

Econometrics Statistics

Demand Forecasting Model

I developed an improved forecasting model that predicts industry size five quarters out, using price-trend data from auction and retail markets along with consumer behavior.

Time Series Forecasting

Genomic ML Pipelines at Scale

I productionized pipelines processing 3TB of genomic data a day, cutting manual effort by 70% and making downstream analytics faster and more reliable.

Data Engineering Airflow BigQuery

Unified Genomic Feature Repository

I architected a BigQuery repository that became the team's single source of truth for crop analytics, and the foundation for everything built on top of it since.

BigQuery Data Engineering

Proprietary Imputation Algorithm

I developed an imputation method that took usable data return from 30% to 92% per feature — a meaningful jump in how much of the data we could actually put to work.

Statistics Feature Engineering

Gaussian Mixture Modeling for Variant Detection

I applied Gaussian Mixture Models to improve true variant detection by 70% in genomic datasets, strengthening the data quality everything downstream depended on.

Gaussian Mixture Models R

Insect-Resistance Mapping in Wheat

During my PhD, I mapped insect-resistance genes in wheat using mixed-model regression — work aimed at breeding varieties that need less pesticide.

Mixed Modeling PCA & Clustering