Gold Price Prediction Dashboard

Built an interactive dashboard that ingests 10 years of historical gold prices, cleans and transforms the data, trains forecasting models (ARIMA, Prophet, XGBoost with time‑aware features), and exposes visualizations and scenario simulators for investment planning. The dashboard includes backtest results, error metrics (MAE, RMSE), and a suggested monthly withdrawal/saving plan to target a $2,500/month income goal from gold-related strategies.

Skills: Data cleaning, Pandas, scikit-learn, XGBoost, Facebook Prophet, ARIMA/SARIMA, Python, Jupyter, Streamlit, Plotly, Time-series forecasting, Backtesting, Financial modeling.