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This is the final project I had to do to finish my Big Data Expert Program in U-TAD in September 2017. It uses the following technologies: Apache Spark v2.2.0, Python v2.7.3, Jupyter Notebook (PySpark), HDFS, Hive, Cloudera Impala, Cloudera HUE and Tableau.

  • Updated May 4, 2018
  • Jupyter Notebook

The "UnicornVis: Visualizing Venture Capital Unicorns" project is an interactive visualization tool built using Python, Tableau, and Jupyter Notebook. This project aims to provide a comprehensive and visually engaging overview of the unicorn startup landscape from 2007 to 2022.

  • Updated Feb 21, 2024
  • Jupyter Notebook

This is a dimensional data warehouse that seeks to provide insights into the raw data that FEMA provides publicly for its Individual and Housing Program. I used Jupyter Notebook, Python (Pandas, NumPy, Pyodbc), and SQL to perform ETL on the dataset, loading the warehouse based on the schema I designed. I created visualizations using Tableau from…

  • Updated Jun 2, 2021
  • Jupyter Notebook

Tableau Story of CitiBike Ridership: Created a story in Tableau to visualize CitiBike data from 2019 before the pandemic and 2020- after the pandemic to see how it has affected ridership. Data from Citibike was too large to import to Tableau so first I cleaned it in a Jupyter Notebook. Created multiple visualizations and dashboards to illustrate…

  • Updated Feb 14, 2021
  • Jupyter Notebook

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