Real-time NFL Draft Prediction Model Deployment

Machine learning model deployment on Databricks with Python SQL UDFs for real-time NFL draft predictions.

DatabricksPySparkSQL WarehouseUnity CatalogPythonXGBoostMLflowNode.jsExpressNext.js

NFL draft analysts need real-time player evaluation tools that can predict draft position and success probability across different positions. Traditional scouting relies on subjective evaluation, while data-driven approaches often lack the speed and accessibility needed for live draft analysis.

Built an end-to-end ML pipeline on Databricks with real-time serving capabilities:

Cross-validation accuracy: 78% across all position predictions

Position-specific performance: QB (82%), RB (76%), WR (74%)

Sub-second latency: <200ms response times for prediction requests