Kayla Bollinger

Recent PhD graduate in applied mathematics with research experience in analyzing and visualizing data in a range of applications. Looking for an opportunity to grow professionally in a role where I can apply these skills to help guide insightful decisions.

Portfolio

Text Analysis: Power Creep in Hearthstone Cards

Scraping, cleaning, and analyzing text-based data.

TOOL(S) USED: Python (pandas, Plotly, NumPy, NLTK), Streamlit

Data Cleaning and Dashboard in Google Sheets: Bicycle Customers

Cleaning data and dashboard building using Google Sheets.

TOOL(S) USED: spreadsheet (Google Sheets), pivot tables, IF statements, charts, slicers

Data Cleaning in SQL: Tennessee Housing Data

Cleaning data using Microsoft SQL Server.

TOOL(S) USED: SQL

Visualization in Tableau: Comparing railroad infrastructure quality between countries.

Makeover Monday challenge for 21/11/2022: exploring railroad infrastructure quality scores.

TOOL(S) USED: Tableau

Exploratory Data Analysis: How do casual riders use the Divvy Bike-Share service?

Google Data Analytics Capstone project: analyze bike-share data to determine differences between casual riders vs riders with an annual membership.

TOOL(S) USED: Python (pandas, Jupyter Notebooks), Tableau

PhD Thesis: Using reduced order models and regression in applications to structural modeling.

Develops and presents two nonlinear model reduction methods which can be applied to scientific problems in the data-scarce setting.

TOOL(S) USED: Python (NumPy, scikit-learn, PyTorch, Plotly)