Grayson Boling

I’m a Machine Learning Engineer who builds deployed models that move from engineered data to real-time decisioning. In a cross-functional environment, I’ve worked with Software Engineers, Analysts, and Tech Leads to implement sports betting pricing systems and improve how quickly models reach training-to-live inference. I transform proprietary sports data into company pipelines for processing, storage, and retrieval. I also implemented a new site-wide model training pipeline using XGBoost/LightGBM/CatBoost, deployed on DataBricks, to improve model creation and training-to-live inference timelines—while targeting better pricing accuracy and profitability by market. As a freelance Data Scientist, I handle the full workflow: analyzing and visualizing data with pandas/matplotlib, training and validating models with scikit-learn, and applying deep learning with PyTorch and fastai. I’ve shipped user-facing experiences as well, including Streamlit and Heroku deployments, and I enjoy building projects end-to-end—from data parsing and feature engineering through to the frontend.