I'm a Machine Learning Engineer specializing in time series forecasting. I build custom, production-ready models that accurately predict your future data patterns. No templates just tailored solutions for YOUR specific data.
What's Included in This Package:
- Complete Data Analysis: Exploratory Data Analysis (EDA), stationarity testing (ADF test), trend/seasonality decomposition, ACF/PACF plots, and outlier detection.
- Multi-Model Development: I will build and evaluate 3 to 4 different approaches:
- ARIMA/SARIMA (Classical statistical approach)
- Exponential Smoothing (ETS models for smooth trends)
- Facebook Prophet (Excellent for business data with holidays/events)
- Advanced Model (LSTM Deep Learning or XGBoost/LightGBM based on data characteristics)
- Rigorous Validation: 80/20 train-test splits, Time Series Cross-Validation, backtesting, and hyperparameter optimization.
- Performance Metrics: Detailed model comparison side-by-side using RMSE, MAE, and MAPE metrics to select the absolute best model.
- Future Forecasting: A 612 month forecast horizon equipped with 95% confidence intervals.
Typical Use Cases I Cover:
- Sales, Revenue, & Demand Forecasting
- Website/App Traffic Metrics