Xinyang Sun
I'm |
About
I'm a passionate and self-motivated PhD Candidate in Engineering at King’s College London. I dedicate to unravelling the complexities of the ever-evolving world through the lens of interdisciplinary research. My current research project delves into a dynamic intersection, where telecommunications, machine learning, and sustainability converge. As a PhD Candidate, I thrive on the challenges presented by diverse fields and find immense joy in bridging the gaps between them.
I received my BSc degree in Telecommunications Engineering with Management from Queen Mary University of London and MSc degree in Telecommunications and Internet Technology from King’s College London. My academic journey has equipped me with a versatile skill set, including programming and data analysis. As a believer in the potential of interdisciplinary collaboration, I'm excited to contribute to projects that push the boundaries of traditional academic fields.
Language
English
Bilingual Proficiency
Chinese
Bilingual Proficiency
Spanish
CEFR A2
Resume
Education
Doctor of Philosophy - PhD, Engineering
Feb 2024 - Present
King's College London, England, United Kingdom
Thesis: Development and Application of Digital Product Passport for Perishable Product Supply Chain
Master of Science, Telecommunications and Internet Technology
Sep 2022 - Sep 2023
King's College London, England, United Kingdom
Grade: Pass with Distinction
Bachelor of Science, Telecommunications Engineering with Management
Sep 2018 - Jun 2022
Queen Mary University of London, England, United Kingdom
Grade: First Class Honours
Experience
Data Scientist
Jan 2025 - Present
Carlsberg Group, England, United Kingdom
• Develop and deploy demand forecasting product across 12+ markets (China, Ireland, GB, Sweden,
Cambodia, India, etc)
• Deliver enterprise-scale data and Machine Learning pipelines on AWS & Microsoft Azure
forecasting 60,000+ Instances.
• Support Forecasting as a Service ecosystem for carlsberg group, supporting global demand
planning director’s vision.
Data Scientist
Jul 2024 - Jan 2025
Britvic Soft Drinks, England, United Kingdom
• Develop and deploy end-to-end solution for automated and accurate demand forecasting for
Britvic Ireland and GB business.
• Apply advanced data analytics to generate strategic insights, supporting revenue growth and
cost optimisation initiatives.
• Conduct in-depth analysis of key performance indicators, including sales trends and consumer
behaviour patterns.