Takes initiative to lead when needed; demonstrated by my experience overseeing a
team of lab personnel and ensuring maintenance of quality assurance. Great team player and
able to work well with others. These skills were used extensively through my Data Science
program where I collaborated with my classmates, and in my career where I regularly
communicated with salespersons, scientists, and clients.
With my versatile background as a laboratory scientist I know the importance of working
diligently with an eye for details, thinking critically about complex topics, and being able
to adapt to dynamic situations - skills necessary for a successful data analyst. Highly
motivated to put my skills to use in a new work environment.
Python, SQL, Tableau, ETL, Bootstrap
The purpose and goal of this project is to determine where is San Diego would residents benefit the most from low-moderate income housing broken down by zipcode. We used a K-means model to analyze several different categories. The categories that we chose to focus on are accessibility to transit, food(markets), hospitals, and parks. To get this data we obtained census flat files for the population, income, and living percentages, performed web-scraping for the hospital information, utilized the San Diego transit geoJSON data, as well as used Google's PlacesAPI for the markets and parks. We preprocessed the all data, compiled, trained, and evaluated the data to get our results.
Code GitHub PageThe purpose of this challenge was to filter a dataset, compile the information in a table and display the results on a webpage using javaScript. Our example dataset for this project is consists of many accounts of UFO sightings. To summarize, our result is a neatly organized webpage with data that can be easily filtered. Although the design is simple it serves its purpose and allows us to filter through a large dataset.
Code GitHub PageUsing Tableau I was able to create story that depicts the usage of a bike sharing service in New York City, with the purpose of potentially expanding the service to Des Moines. In this report I identified the days and times in which the service is most in use and I show how this data differs between subscribers and customers of all genders. I also show how long the bikes are typically checked out for. Lastly, I identified the areas of the city in which the bike trips typically start and end.
Code Tableau StoryThe purpose of this project was to utilize plotly to create different types of charts to display biodiversity among a dataset of swabbed samples. Using plotly I created a gauge chart, horizontal bar graph, and a bubble chart. I also created a drop down menu to select for different test subject IDs to view demographic informaiton. Lastly, all elements are displayed on a dashboard.
Code GitHub PageThe purpose of this challenge was to use resampling methods to alter an unbalanced dataset with the goal of creating a more reliable machine learning model. The purpose of this challenge was to use resampling methods to alter an unbalanced dataset with the goal of creating a more reliable machine learning model.
CodeThe purpose of this challenge was to make API requests to retrieve information and create maps with multiple layers and markers using gmaps. Approximately 1,600 cities were randomly generated - numpy was used to create 2,000 pairs of coordinates and matched to the nearest city using citipy. Weather information was gathered from openweathermap.org utilizing a Weather API key.
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