Professional Overview
I'm a Data Professional specializing in Machine Learning, Applied AI, Data Science, and production ML systems. I help companies build production-ready solutions using Python, scikit-learn, XGBoost, LightGBM, PyTorch, FastAPI, MLflow, GCP, LangChain, and modern LLM tooling. My work includes fraud and anomaly detection, forecasting, model evaluation, probability calibration, explainable AI with SHAP, real-time inference, drift monitoring, and automated retraining. I’ve worked on ML systems handling 450K+ daily transactions, improved fraud-model ROC-AUC from 0.76 to 0.86, supported $35K+ in quarterly loss prevention, and built inference services delivering predictions in under 45 ms p95. I focus on building solutions that are accurate, deployable, measurable, and tied to a clear business outcome.
Areas of Expertise
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
