Developed an end-to-end forecasting pipeline that retrieves real-time Bitcoin price data via API, preprocesses it, and trains an LSTM model to predict future price trends. The workflow is automated through a custom ETL pipeline, orchestrated with Apache Airflow, ensuring scheduled data updates, model retraining, and consistent monitoring of performance.