Hybrid Revenue Forecasting System

Summary

Implemented a forecasting system combining LSTM neural networks with XGBoost, designed for revenue prediction.

Highlights

• Hybrid ML + deep learning pipeline
• Model monitoring and retraining workflow
• Performance improvements over classical baselines

Technologies

Python, TensorFlow/Keras, XGBoost, MLflow, Airflow