Professional Overview
Senior Data Scientist and technical leader with a Ph.D. and 14+ years across quantitative modeling, applied ML, and production data systems. Deep experience across the full ML lifecycle, from transactional, bureau, and document data ingestion through feature engineering, model development, explainability, deployment, monitoring, and improvement.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
