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

A dealer-facing tool, powered by machine learning models, that prices more than 70,000 pieces of equipment worth over $12B.

Predictive Modeling Python MLOps

Hedonic Price Index

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

Econometrics Statistics

Demand Forecasting Model

A 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

AI-Assisted Engineering

AI-assisted engineering workflows spanning code generation, debugging, refactoring, and rapid prototyping, accelerating development and shortening delivery cycles.

AI-Assisted & Agentic Coding Python

Executive Brief Generator

An LLM-powered workflow that turns analytical outputs into one-page executive briefs, accelerating insight communication and decision-making.

LLMs AI-Assisted & Agentic Coding

Executive KPI Dashboards

KPI dashboards and decision support for SVPs, translating complex analyses into recommendations for product strategy and patent disputes.

Tableau Executive Communication

GenCoCo Tool

An interpolation-based genomic coordinate conversion algorithm, served via an R Shiny app, that cuts conversion time by 90%.

R Feature Engineering

Cost Savings

Queryable BLAST databases built from public genomes, paired with a haplotype-based method for identifying gene-editing targets with greater statistical power — avoiding $750K in cost while widening research accessibility.

Bioinformatics Statistics

Parent-Progeny-Trio QC

A parent-progeny-trio QC framework that delivers 100% data quality control with zero sample mix-ups.

Bioinformatics Data Engineering

Genomic ML Pipelines

Production 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 Feature Repository

A genomic feature repository in BigQuery 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

Imputation Algorithm

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

Statistics Feature Engineering

Gaussian Mixture Modeling

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

Gaussian Mixture Models R

Trait Discovery & Breeding

Insect-resistance genes mapped using mixed-model regression, then deployed into wheat varieties through hypothesis-driven experiments — resulting in products that use less pesticide and support more sustainable farming.

Mixed Modeling Experimentation

Genomics & Bioinformatics

Sequencing-based bioinformatics methods to detect genome deletions and identify duplicate entries in public gene banks, cutting detection time by 60% and curation costs by 50%.

Bioinformatics R

Novel Popgen Discovery

Principal component analysis and hierarchical clustering applied to identify a novel wheat population genetic group, contributing a new source of genetic variation to the research community.

PCA & Clustering Statistics