I will do lstm,sarima ,xgboost and gru time series analysis
About this Gig
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.
Programming language:
Python
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R
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SQL
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MLflow
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Amazon SageMaker
Frameworks:
Scikit-learn
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DeepPy
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Google ML Kit
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Keras
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Panda
FAQ
How will you receive the code ?
in any format you like, i can also provide you everything via email

