Shahid S.

Electricity Price Forecasting System

Electricity Price Forecasting System | Independent Project 2026 • Engineered an end-to-end predictive analytics pipeline on weather and IEX market transaction data, using lag features and rolling averages to isolate time-series patterns. • Trained and compared XGBoost and Random Forest models to forecast electricity prices, translating results into visual, stakeholder-ready recommendations. Modular Python Data-Utility Application | Independent Project 2026 • Built a menu-driven Python application with 10+ structural data utilities, including automated regex-based data validation and robust error handling. • Automated data-validation checks previously performed manually, reducing repetitive review work