I will build production ready time series forecasting models

A predictive model is useless if it only lives in a Jupyter Notebook. You need production-ready AI.

Instead of just running basic statistical forecasts, I specialize in transforming raw historical data into scalable, deployed forecasting engines. From hyperparameter tuning to real-time API endpoints, I build end-to-end pipelines ready to be integrated into your business logic, whether you are predicting retail sales or high-frequency IoT sensor data.

Advanced Forecasting & ML:

• Deep Learning & Modern AI: Neural Prophet (Specialty), LSTM, GRU.
• Traditional & Statistical: ARIMAX, GMM, GARCH.
• Tree-Based: XGBoost, Random Forest.
• Hyperparameter Tuning: State-of-the-art optimization using Optuna for maximum accuracy.

The Production Pipeline (The Real Value):

• Model Registry: Tracking and versioning with MLflow.
• Time-Series Databases: Integration with TimeScaleDB or InfluxDB.
• Backend API: Exposing your model via FastAPI for seamless software integration.
• Visualization: Standalone interactive web apps (Streamlit, Plotly) or live monitoring dashboards (Grafana).

IMPORTANT: Every dataset and business goal is unique. Please message me before ordering.