Angelia Lau
Data Scientist
Cambridge, Massachusetts, Singapore
Summary
👤
Senior🎓
Top SchoolAngelia Lau is a data scientist with nine years of cross-disciplinary experience applying machine learning, computer vision and spatial analytics to urban and water systems. Based in Cambridge and originally from Singapore, she blends full-stack engineering (React, Leaflet) and GIS expertise (ArcGIS, Geoserver, PostGIS) with big-data tooling (PySpark, Databricks) to build interactive, stakeholder-ready visualisations. Her work at URA and NYU focused on mobility, civic analytics and bias-aware analysis of 311 complaints, while her current role at SUEZ applies ML and CV to practical water-service challenges. Comfortable in cloud and DevOps-adjacent environments, she pairs rapid prototyping with production-minded engineering and a knack for translating messy spatial data into policy-relevant insights.
9 years of coding experience
3 years of employment as a software developer
Computer Science, Computer Science at Singapore University of Technology and Design (SUTD)Master of Science - MS Applied Urban Science and Informatics, Master of Science - MS Applied Urban Science and Informatics at New York University
English, Chinese
Github Skills (4)
player3
automation2
linux2
test-automation2
Programming languages (1)
Github contributions (5)
leonaisabelle/CUSP-ADS-Project
Oct 2019 - Dec 2019
Contributions:33 pushes in 1 month
angelialau/WI_Files
Jun 2020 - Jul 2020
Contributions:20 pushes, 1 branch in 25 days
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