Chan Lin-En Leanne
I'm interested in using data science for public policy!
Bachelor of Science in Mathematics and Economics, Master of Urban Spatial Analytics.
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Portfolio - Data Science Projects
Machine Learning
Fire Hydrant Inspection Prioritisation Scheme using Predicted Latent Fire Risk
Capstone project for the MUSA800 course in the School of Design, Upenn. The project was to build a inspection prioritization scheme for the Philadelphia Fire Department.
Project with Ran Xin and Li Zi Qun
Predicting Food Establishment Inspection Failures in Chicago
Distribution of various risk factors across Chicago.
ROC Curve - A measure of performance of the classification model.
Project with Yap Yun Qi
Predicting Geospatial Risk - Sexual Assault Risk in Chicago
Plot shows the predictions of counts of sexual assault cases of various models compared to the true count of sexual assault cases (right).
Predicting Home Prices in San Francisco
The plot shows the distribution of predicted home prices compared to observed home prices.
Project with Yap Yun Qi
Predicting Take Up Rates of Housing Credit Programme in Philadelphia to Optimise Cost
Plot shows fraction of true positive, false positives, true negatives and false negatives as a result of model predictions at different thresholds.
Predicting Severity of Traffic Accidents in Philadelphia
Data Visualisation
The following plot shows the price to size for each NYC borough over recent years.
Project with Yap Yun Qi
- Handling Big Data - 3 Million Points, 1 GIF
Webmapping
Application built as part of the machine learning project to build a fire hydrant inspection scheme for the Philadelphia Fire Department.
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