Professional Overview
Senior Data Scientist and Applied AI Solution Architect with 14+ years specializing in Machine Learning, Predictive Analytics, and Applied AI across education, SaaS, and digital-transformation initiatives. Specialized in translating complex business challenges into scalable AI solutions using Machine Learning, Predictive Analytics, Natural Language Processing, Retrieval-Augmented Generation (RAG), MLOps, Analytics Engineering, and Executive Business Intelligence. Builder of a growing portfolio of self-directed, publicly deployed Applied AI platforms — spanning EdTech decision intelligence, cross-industry churn prediction, and real-time speech ML — demonstrating end-to-end platform design from architecture through live deployment.
Areas of Expertise
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
