Shawn Han

Background

About Shawn Han

Current Role: Research Assistant at UCL School of Management Educational Background- MSc in Health Data Science, UCL - BSc in Mathematics with Statistics, University of Bristol Interested in: Data Analytics, Artificial Intelligence, Machine Learning Applications in Diverse Sectors As a Research Assistant at the UCL School of Management and a graduate in MSc Health Data Science from UCL, my journey has been rooted deeply in leveraging data to solve complex problems. My passion and expertise in data analytics, artificial intelligence, and machine learning are boundless and multifaceted, extending to various technological and management aspects. My foundational knowledge in mathematical statistics, honed during my BSc at the University of Bristol, has provided a robust base for my ensuing endeavors. I have successfully applied machine learning to real-world challenges across different domains. Some highlights from my projects include predicting Biliary Atresia, enhancing mammographic mass classification, developing cross-device diagnostic models for retinal diseases, and employing time-series data for glucose level prediction. My technical proficiency encompasses- Programming: Python - 🤖 Machine Learning Libraries: TensorFlow, PyTorch - Data Management and Analysis: STATA, SQL, R - Research and Analysis: Quantitative & Qualitative Research, Data Modeling My experiences and skills have galvanised my passion for data science and technology, and I'm eager to further leverage these skills in my professional journey. I'm always open to connect with professionals and enthusiasts in the data science and technology realm. Feel free to reach out to exchange insights, explore opportunities, or simply to say hello!