Summary
Hanhan W is a Senior Manager of Data Science with over a decade of experience building and operationalizing ML solutions across financial services and tech, including leadership roles at Scotiabank, Mastercard/NuData, and Microsoft. She combines hands-on expertise in big data engineering, AutoML, and production model pipelines (Python, Spark, SQL, Airflow, Databricks, AWS/Azure) with strategic planning and stakeholder-facing product delivery. Hanhan has led international teams on income prediction, fraud detection, recommendation, and campaign optimization while establishing reusable templates, review processes, and performance rubrics to scale impact. She is equally comfortable diving into R&D to squeeze more performance from models and shipping robust monitoring and retraining workflows. Beyond work, she pursues continuous learning and small personal projects (see her GitHub and “My Garden” repos), reflecting a practical curiosity that fuels creative, business-focused solutions. In the next phase she’s focused on amplifying impact through strategy and decision-making across larger organizational initiatives.
10 years of coding experience
Bachelor of Engineering, Electronics and Electrical Engineering, Bachelor of Engineering, Electronics and Electrical Engineering at University of Glasgow
Visiting Student, Computer Science, Visiting Student, Computer Science at Technion - Israel Institute of Technology
Master of Applied Science, Wireless Communications, Master of Applied Science, Wireless Communications at University of Toronto
Bachelor of Engineering, Electronic Information Engineering, Bachelor of Engineering, Electronic Information Engineering at University of Electronic Science and Technology of China