Aerospace Demand Forecasting
LSTM network for aerospace inventory demand forecasting, built as my master's project at Cal State Fullerton. Hit 94.5% precision on erratic demand patterns, beating the traditional statistical methods used for comparison. ETL pipeline from PostgreSQL, SQL Server, and OData APIs with 140+ engineered temporal features.
PythonLSTMPyTorchPostgreSQLSQL ServerETL
