Projects
These five projects highlight my skills gained in Python, SQL, pgAdmin 4, Tableau, and HTML. Along with those hard skills it shows my ability to work both independently and collaborative with group members. To see all of my completed assignments, please visit my GitHub page.
Using Python and Pandas in Jupyter notebook, this assignment was to analyze ride-sharing data over a period of time for each city type (Rural, Urban, Suburban). We needed to understand how many cities the company services, how many drivers are in each city, the number of rides given and how much fare was collected for the rides.
This assignment used SQL and pgAdmin 4, to help Pewlett Hackard management determine the number of soon to be retiring employees
by their title and identify the ones who are eligible to participate in a mentorship program.
Using JavaScript and HTML, the purpose of this project was to build a dynamic webpage that allows users to interact with the site by filtering search criteria. Users can filter UFO sightings based on dates, city, state, country and shape. With each input the webpage will update accordingly to display available information in the table.
This assignment was to visually show the differences of earthquake magnitudes all over the world. This was done by using JavaScript and the D3.js library to retrieve coordinates and magnitudes of the earthquakes from GeoJSON data from the USGS API. The data was then used to create an interactive map using a Mapbox map through an API request. On the map, a user can see the relationship of tectonic plates' location on earth and where earthquakes occure along them with their magnitude size.
Here I analyzed NYC CitiBike Data for the month of August by using Tableau to visualize the data and explore the viability of a bike-sharing business in Des Moines, IA.