Data Assessment and Preparation

An initial assessment of data would be conducted to determine its structure, quality and gauge usability for machine learning models. Any feature engineering step like cleaning, transforming data will be performed for better predictions.

Custom Machine Learning Model Development

Based on the organization's requirements, a custom machine learning model will be chosen after rounds of experimentation through analysis under multiple scenarios to ensure robustness.

Continuous Model Training and Optimization

Machine learning models improve over time with new data. I offer ongoing model training and refinement to ensure your predictions remain accurate and up-to-date as your business and market evolve. This includes regular performance monitoring and retraining of the models as needed.

Methodology document

A clear and concise document of the methodologies experimented and error metrics used will be given to you along with clean code for reproducability.

End-to-End Support and Maintenance

I will provide full support from model deployment to ongoing maintenance. We’ll ensure the model continues to perform optimally and offer troubleshooting or adjustments as your business needs change.