HKU Student | Social Data Science (SDS) | Student Representative of SDS | Hong Kong
yk-chow[at]outlook[dot]com
I’m a third-year Social Data Science student at The University of Hong Kong (HKU), passionate about using data analysis, visualisation, and programming to solve real-world problems. Skilled in Python, Tableau, Power BI, and GIS platforms, I enjoy working on projects and participating in hackathons. I’m also a Microsoft Student Ambassador, learning cloud and AI technologies.
Project’s themes: Spatial Data Analysis, Elderly well-being, Technology for Social Inclusion, Telemedicine
These videos showcase a demo for the Open Data Hackathon project, developed using ArcGIS Pro. They analyse how and where SUA can operate in Hong Kong, home to the highest building density in the world.
This heat map, created using Python, analyses building density across Hong Kong by processing data from over 50,532 buildings, identifying the most suitable areas for SUA testing.
This map, created using Tableau, analyses median age across Hong Kong by the open data of population census in 2021, identifying the most aging areas in Hong Kong, aiming for providing specific service and resources for the aging population.
Open Data Hackathon, by #HKtag
Finalist in the competition among 120+ teams
Project’s themes: Small Unmanned Aircraft (SUA), Spatial Data Analysis, Elderly well-being
Demo:
This video showcases a demo for the Open Data Hackathon project, developed using ArcGIS Pro. It analyses how and where SUA can operate in Hong Kong, home to the highest building density in the world.
This heat map, created using Python, analyses building density across Hong Kong by processing data from over 50,532 buildings, identifying the most suitable areas for SUA testing.
All trademarks, logos, and brand names are the property of their respective owners. Use of these trademarks, logos, and brand names does not imply endorsement or affiliation.