Machine Learning
Developing and evaluating production-ready ML solutions using scikit-learn and XGBoost – wrapped in FastAPI end-points using Docker.
Turn data into predictive intelligence
Transform your business data into actionable predictions and insights. From customer behaviour analysis to automated decision systems, I implement production-ready machine learning solutions that deliver measurable business value.
Custom solutions
Machine learning models tailored to your specific business challenges
Production focus
Robust implementations ready for real-world deployment
Proven methods
Industry-standard approaches using scikit-learn and XGBoost
From data to deployed solutions
Access comprehensive machine learning expertise that covers your entire project lifecycle. I handle everything from initial data preparation to final production deployment, ensuring your ML solutions are both effective and maintainable.
Data pipeline
Robust data processing and feature engineering workflows
Model development
Systematic approach to training and validation
API integration
Clean FastAPI endpoints wrapped in Docker containers
Scalable machine learning systems
Get machine learning solutions that perform reliably at scale. I focus on building efficient, maintainable systems that deliver consistent results while making effective use of your computational resources.
Efficiency focus
Optimised implementations for production environments
Quality metrics
Comprehensive testing and performance validation
Resource management
Balanced approach to computational requirements
Reliable ML operations (MLOps)
Ensure your machine learning systems remain effective over time with robust monitoring and maintenance processes. I implement comprehensive MLOps practices that keep your models performing at their best.
Model monitoring
Track performance metrics and detect data drift
Regular updates
Systematic model retraining and validation
Documentation
Clear technical documentation and handover processes