Consultant, Data Science & Engineering

Full-stack Data & AI Consultant experienced in bridging business and engineering for multibillion-dollar enterprises. He specialises in designing and delivering large-scale data products, cloud-native pipelines, and advanced analytics solutions. Holding a B.Sc. in Business Analytics, he operates at the intersection of data engineering, AI, and business strategy. Robin is a structured, collaborative, and results-driven professional who has led data warehousing, reporting, and data strategy initiatives across manufacturing, telecommunications, and professional services.

• Modelled a supermarket as a graph network and coded a probabilistic Python simulator that generated over 50 000 privacy-safe shopping journeys to advance fraud-detection research.
• Prototyped LSTM-based fraud-detection models on the synthetic data, raising the fraud-prediction F1 score from 0.7 to 0.89 compared to baseline methods.