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A MATLAB-based interactive app that analyzes Disneyland attraction visit trends using geo-tagged Flickr data. Visualizes crowd flow, attraction popularity, and visit sequences across months and years using heatmaps, pie charts, bar graphs, and more.
Data-driven analysis of coffee shop sales using correlation, regression, and causal inference. A Jupyter Book project exploring foot traffic, weather patterns, and business analytics.
Data-driven analysis of coffee shop sales using correlation, regression, and causal inference. A Jupyter Book project exploring foot traffic, weather patterns, and business analytics.
Designed and implemented a scalable real-time analytics pipeline using Apache Kafka, Spark Structured Streaming, and MongoDB to simulate NYC MTA turnstile data and forecast real-time subway foot traffic using SparkML Random Forest models.
codes for: Alba, C., Pan, B., Yin, J. et al. COVID-19’s impact on visitation behavior to US national parks from communities of color: evidence from mobile phone data. Scientific Reports 12, 13398 (2022).