What's included

• Machine Learning Model Development

  I will design and develop a predictive machine learning model using Python, Rust, SQL (with BigQuery on GCP), or R. The model will be trained and fine-tuned to meet your specific business requirements.

• Model Deployment and Integration

  I will deploy the trained and fine-tuned machine learning model to your preferred cloud platform (Google Cloud, AWS, Azure, Databricks, etc.), and ensure any necessary data cleaning and transformation is completed beforehand. For smooth deployment and integration, developer access to your cloud environment will be required.

• MLOps and Model Monitoring

  After deployment, I will collaborate with you to set up model monitoring and observability using MLOps tools to track performance, detect drift, and ensure the model’s reliability over time.

• Data Analysis and Code Deliverables

  I will perform a detailed data analysis, generating visualizations, calculations, and insights. The code file containing the analysis and outputs can be provided in Python, Rust, SQL, or R, based on your preference and project requirements.

• Final Report in PDF Format

  A comprehensive report summarizing anomalies, trends, and actionable business insights derived from your data will be provided in PDF format.