Data Science Portfolio

This repository is a collection of a few projects I have worked on. The projects are either written in R, RShiny, Python or D3.js. I use data science techniques to explore some interesting data or for my own learning and discovery. Click on the projects to see analysis and code.
More information about me: https://www.linkedin.com/in/kirshnee-bhagwandas-bbb0464a/

projects

exploring bank visits

• interactive RMarkdown storyboard to show customer's visits to the bank tellers.
• use of ggmap to geocode loctions and mapping in Leaflet.
• plotly and ggplot packages used for visualization.

webscraping_tripadvisor

• webscraping app to collect Trip Advisor's hotel data and analyse sentiments of reviews.
• use of Scrapy in python to develop spider, R to clean and perform sentiment analysis together with RShiny for app and visualization.

moving_bubbles

• Using Nathan Yau's Day in the life of an American' tutorial to create clusters moving in D3.js
• Data wrangling was done in R and then the cleaned data transferred to D3.
• I created the nodes to move in groups at time intervals to various positions.

Outlier Detection

• Isolation forest example