Summary
Roshan Sureen is a data scientist based in Hamburg with 11 years of professional experience and a strong academic foundation (MSc Applied Computer Science) focused on turning data into business value. Currently at Statista, he builds predictive models and has recent hands-on experience in deep learning for image classification and NLP for emotion analysis as part of his research work. His master thesis and prior industry projects tackled applied problems like data-driven corrosion modeling and product assortment optimization, showing an ability to bridge research and production. Comfortable across the Python data stack, Roshan pairs technical depth with soft skills in leadership, teamwork and adaptability, and he’s also exploring agentic solutions in his GitHub work. He’s actively seeking a Master’s thesis or data-science role where he can apply both research rigor and practical engineering to drive measurable impact.
10 years of coding experience
1 year of employment as a software developer
Heriot-Watt University Edinburgh Campus
Master of Science - MS, Applied Computer Science - Specialisation in Basics of Business Information Systems, Master of Science - MS, Applied Computer Science - Specialisation in Basics of Business Information Systems at The University of Göttingen
German, Hindi, English