Summary
Daniel Correia is a Senior Data Scientist with 10 years of cross-industry experience building production ML systems and advanced analytics on cloud platforms, currently leading data science efforts at Emirates NBD after a senior role at Adswerve. He holds a PhD in causal inference and specializes in counterfactual modeling, bringing research-grade rigor to practical ML deployments on GCP and previously on AWS SageMaker. Daniel combines hands-on model engineering (TensorFlow, PyTorch, scikit-learn) and data engineering (BigQuery, Vertex AI) with mentorship and client-facing consulting experience. His background in mechanical and computational engineering gives him a strong foundation in simulation, FEA/CFD, and principled problem solving applied to ML. Dual EU–South Africa citizenship enables flexible international engagement, and outside work he explores systems-level programming in Rust and pursues mountaineering and rock climbing, reflecting a taste for technical depth and calculated risk.
10 years of coding experience
10 years of employment as a software developer
MSc (Eng) Mechanical Engineering, MSc (Eng) Mechanical Engineering at University of the Witwatersrand
Doctor of Philosophy (PhD) Causal Inference, Doctor of Philosophy (PhD) Causal Inference at University of Pretoria
Matric Physics Computer Studies, Matric Physics Computer Studies at King David Victory Park
English, Afrikaans, Portuguese