Shampa Shahriyar is a Data Engineering Lead at ANZ with 10+ years of experience blending research-grade machine learning and practical data engineering to deliver automated pipelines, reporting, and productionized analytics. She holds a PhD in Information Technology from Monash University and has a strong background in big data (PySpark, Hadoop, Hive), ML (scikit-learn, XGBoost, TensorFlow), NLP, and visualization (Tableau, Plotly, D3). At ANZ she has driven cross-tribe automation and forensic reporting, product migrations and loan analytics while also leading Centre of Excellence efforts for engineering and platforms. Her technical breadth spans full-stack development, containerization, cloud data services, and CI/CD for ML products — a combination shaped by academic work in image and hyperspectral processing and multiple datathon wins. Based in Melbourne, she is an active practitioner who publishes research, shares data-science projects and visualizations publicly, and routinely integrates engineering rigor into analytical solutions.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.