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A data analysis project on the most popular podcasts on Spotify in Germany in December 2022, including scraped data, cleaned and enriched data, a Jupyter notebook, and images for a Tableau presentation.
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.
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.
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…
A simple exploratory data analysis about the pandemic COVID-19 in 2020-2021, data preparation for viz in Tableau, data cleaning by using SQL, and finding correlation in Jupyter Notebook
Tableau Story modeling a bike-sharing program in Des Moines, Iowa. Data is cleaned in Jupyter Notebook and then tableau is used to create visualizations of NYC’s Citi Bike app data based on various features.
11 DA/DS-projects from different industries done in Jupyter Notebook on Python during 6+ months of hands-on course by Yandex School for Data Analytics in 2022 - my portfolio in DA/DS-programming for CV
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…