Analysis | Visualization | Wrangling
Data and statistics enthusiast
seeking new challenges and opportunities.
Well versed in Python, JavaScript, SQL,
and a variety of visualization and statistical packages.
I come from a background in healthcare. As an undergraduate, I was on the pre-med track, but after shadowing doctors I decided to change trajectories to a career path that suited my personality and skillset. This has lead me to pursue a career in data science. I am looking to break into the industry after graduating from KU’s data analytics program by leveraging my strong foundation in analytics and statistics garnered from my BS in Biochemistry. I have discovered a new challenge and passion in programing. I love to unravel difficult problems, and pursue unique solutions. I am excited for new opportunities and challenges, and look forward to impacting health outcomes via data driven measures.
View Skills
The focus of this project was to analyze what components of a song predict popularity. We looked at song availability by country, track features provided by Spotify, and the genre distribution for the dataset. I was responsible for data collection using Spotify's Web API, genre analysis, and integrating our javascript into a presentation using reveal.
Tech: Spotify Web API, Python, JavaScript, Flask, Pandas, SQLite, Plotly, D3.js, Leaflet, and reveal.js
Project Git Repo
We set out to build a engine capable of generating song recommendations in real time based on user input, but we found model run times exceeded realistic wait times for the user. Currently we are presenting static results for three models: deep learning, KNN, and SVM. We The data is presented for the song My Heart Will Go On. I was responsible for data collection using the Spotify Web API and generating predictions using the KNN model.We are continuing to evaluate our approach in order to improve run time and recommendation granularity.
Tech: Scikit-Learn, Spotify Web API, Python, JavaScript, Flask, Pandas, SQLite and D3.js
Project Git Repo
Leaflet map which displays recent seismic activity around the globe. The fault lines and earthquakes are represented by separate layers and can be toggled using the check boxes. Dark and light themes are also available just above the layers. More detailed information about individual earthquakes can be found by clicking any dot.
Tech: Leaftlet, JavaScript, D3.js, and API interactions
Map Git Repo
Interactive scatter plot which allows the user to interchange data to compare six different data sets. The plot will update on click and the axis will scale accordingly. Each data point has a tooltip that will display the state name and relevant data while the cursor hovers over it.
Tech: JavaScript, D3.js, and HTML/CSS
Project Git RepoScraper built with BeautifulSoup and Splinter designed to grab pictures, news, and an info table from mars.nasa.gov.
GitHubUsed tweepy to collect tweets from news outlets, and analyzed the polarity of each tweet using VADER sentiment analysis.
NotebookDynamic dashboard comprised of an unique svg, pie chart, and scatter which update with new data selection. Built using Flask, D3.js, and SQLite.
GitHub