Amy Claman Bio

I am an accomplished software developer with a B.S. in Quantitative Business Analysis. My history of success is directly related to my strengths in identifying problems, listening to user requirements and company needs, performing analysis and communicating results. In addition, my resourceful and self-motivated nature have led me to enhance data collection and reporting at a local non-profit. I am able to leverage my background in software programming to become a successful data analyst utilizing my current knowledge of modern analytic tools learned from Rice’s Data Analytics Bootcamp.

Contact Info

Github: https://github.com/aeclaman/

LinkedIn: https://www.linkedin.com/in/amy-claman-055421172/

Weather Web Visualization Dashboard

Used HTML and CSS to create a dashboard for visualizing weather data. The weather data was collected and plotted for 500+ cities across the world using python, OpenWeatherMap API, Matplotlib and Pandas.

Dashboard Github Repo

UFO Sightings

Created a table dynamically based upon a provided dataset. Site allows users to filter the table data for specific values. Project uses pure JavaScript, HTML, and CSS and D3.js on the web page.

Dashboard Github Repo

Health Risks vs. Demographics

Interactive Data Visualization with D3.

Scatterplot Github Repo

Belly Button Biodiversity

Used Plotly to build interactive charts for my dashboard based on a given dataset. Per sample selected, created a dynamic pie chart, bubble chart and gauge chart. This project also utlized Flask and Heroku.

Dashboard Github Repo

Earthquake Visualization with Leaflet

Used data from the United States Geological Survey (geoJSON) to plot earthquakes based on their longitude and latitude. Data markers used reflect the magnitude of the earthquake in size and color.

Map Github Repo

Mission to Mars

Used MongoDB with Flask, Splinter and BeautifulSoup to create an HTML page that displays information that was scraped from various websites for data related to Mars.

Dashboard Github Repo

Decision 2020

Data visualization project which takes a look at the 2020 presidential candidates presence on twitter in terms of followers, retweets and 'liked' tweets (favorites). It also looks at certain (pre-defined) terms to see how often the candidates are mentioning them in their tweets. The Twitter API is utilized with the python tweepy wrapper as well as MongoDB, Flask, javascript (nvd3) and Heroku.

Dashboard Github Repo

Blindness Detection Application

The blindness Detection App intends to classify and predict the severity of Diabetic Retinopathy from retinal images. Used Python, Keras, Tensorflow, SciKit-Learn, Plotly, Flask and Heroku to build an image classifier used to detect the proper level of retinopathy in the patient.

*This was a collaborative project. See repository.

Application Github Repo

Tableau

Aggregated the data found in the Citi Bike Trip History Logs to build a Tableau Story.

Tableau Story Github Repo

Pyber

Used jupyter notebook and matplotlib to create charts based on fictional ride sharing data. This project includes several pie charts plus a bubble plot that showcases the relationship between four key variables: Average Fare per City, Total Number of Rides per City, Total Number of Drivers per City and City Type (Urban, Suburban, Rural).

Github Repo