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foot-traffic

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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.

  • Updated Feb 7, 2025
  • Jupyter Notebook

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.

  • Updated May 23, 2023
  • MATLAB

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.

  • Updated May 5, 2025
  • Jupyter Notebook

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