Danuphan Suwanwong is a data scientist with 11 years of experience who blends deep mathematical curiosity with practical engineering to design and deploy ML pipelines and big data solutions across energy, retail, inventory control and CRM. Based in Edinburgh and educated with an MSc in Data Science from the University of Edinburgh and a BSc in Mathematics and Computer Science, she leads cross-functional teams and leverages AWS, Azure and GCP to productionize models and analytics. Her background as a systems developer gives her strong full-stack and security-minded instincts—from LAMP and MERN to microservices—enabling robust, scalable deployments. She enjoys dissecting how ML algorithms are built and customized, and brings a hands-on, inquisitive approach to tuning models and architectures. Outside work she pursues photography, travel and competitive badminton, which she credits for sharpening focus and resilience.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Data science, Master of Science - MS, Data science at The University of Edinburgh
Bachelor of Science - BS, Mathematics and Computer Science, 3.70, Bachelor of Science - BS, Mathematics and Computer Science, 3.70 at Mahidol University
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