I build machine learning systems and the infrastructure to run them: training models, engineering features, and packaging them as production-ready APIs with containerized infrastructure, monitoring, and CI/CD. My recent work includes a CatBoost model that predicts used-car prices within ~$1,300 at the median across 243k vehicles, served via a FastAPI endpoint with Docker, Kubernetes, and automated testing.
Explore my projects: Erin Weiss Portfolio
View my résumé: Download Here
Reach me at: erin.michele.weiss@gmail.com
Used Car Price Prediction — Model Development
Predicts used-car listing prices within ~$1,300 at the median across 243k vehicles, 29 manufacturers, and 5,600+ model variants. Compared Ridge, CatBoost, and FT-Transformer architectures with reproducible experiment management and versioned artifacts.
Python · CatBoost · scikit-learn · TensorFlow · Keras · pandas · Quarto
Used Car Price Prediction API — Production Deployment
Takes the CatBoost model from Part 1 and ships it as a production API: request validation, fuzzy input matching, multi-stage Docker builds, Kubernetes orchestration with autoscaling, Prometheus + Grafana monitoring, and CI/CD via GitHub Actions.
FastAPI · Docker · Kubernetes · GitHub Actions · Prometheus · Grafana · pytest
Reinforcement Learning — Agent Optimization
Implements RL algorithms to optimize a mobile robot's warehouse path. Covers exploration vs. exploitation, policy optimization, hyperparameter tuning, and reward shaping.
Python · NumPy · pandas · Matplotlib
Excel Cleaning & Compare App — Deployed Web Tool
A live Streamlit application for cleaning messy PDF-to-Excel invoice data and reconciling datasets side-by-side. Built for a real client workflow.
Python · Streamlit · pandas · openpyxl
Real Estate Analysis — Statistical Modeling in R
Analyzes U.S. housing trends (2016–2022) with a multiple linear regression model explaining ~95% of price variation.
R · tidyverse · ggplot2
See all projects → erin-weiss.github.io
