About
I am a Marketing Analyst at REDX, where I own the team's infrastructure: the full lifecycle of a lead from capture and attribution through the sales flow and re-engagement, plus the pipelines and reporting underneath it.
Outside work I build machine learning and statistical analysis projects, along with retrieval systems and agent building.
More about me
Projects
A few things worth showing.
Bellwether
A dashboard over two years of hourly US electricity demand from EIA Open Data, forecasting the next 24 hours for ERCOT, CAISO, and PacifiCorp East and scoring every interval against what actually happened.
RHC Causal Inference
Estimates the causal effect of right heart catheterization on ICU mortality using propensity score weighting, doubly robust estimation, and E-value analysis.
CMS Readmission Predictor
Predicts 30-day unplanned hospital readmissions using Medicare claims data. LightGBM classifier with monotonic constraints for clinical correctness, SHAP interpretability, and full experiment tracking via MLflow.
Conversational Intelligence
A retrieval system over 225,000+ customer conversations that answers questions in the words customers actually used, with citations back to the specific interaction.
REDX Email Operations
The email infrastructure at REDX: roughly 800K sends a month to 100K+ contacts, across a rules engine that produces mutually exclusive audience segments.
Executive Reporting Pipeline
The GCP data platform behind marketing reporting: BigQuery warehouse, scheduled transformation jobs, a curated core table layer, and reverse ETL back into the operational tools.
Open to data science and AI engineering roles
I'm looking for teams building serious data systems and AI infrastructure. If that's you, let's talk.