Predicts the probability of sales leads converting into customers using a robust machine learning pipeline.
Sponsored
This production-ready machine learning pipeline is designed to score sales leads, predicting the probability of conversion into a customer based on historical CRM data. It encompasses comprehensive Exploratory Data Analysis (EDA) that handles categorical data and missing values while preventing leakage, an automated training pipeline utilizing XGBoost to achieve an impressive ~0.88 AUC score, and a FastAPI service for real-time inference. The entire system is Dockerized, ensuring easy deployment to cloud environments for immediate use in sales operations.
主要功能
01Identification of top predictive features influencing conversion
02Reproducible EDA with leakage prevention and categorical/missing value handling
03Automated XGBoost model training pipeline achieving ~0.88 AUC
04FastAPI service for real-time lead conversion probability scoring
