Professional History & Skillset

Projects

Below, you’ll find some examples of Stephanie's favorite projects:

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  TBM Financial Reporting Suite

  For a federal public health agency, Stephanie built a Power BI suite implementing the TBM (Technology Business Management) Taxonomy, the industry-standard framework for mapping technology spend. It classifies IT costs across cost pools, resource towers, and solutions, then drills from an executive budget summary down to individual line items, turning raw financial exports into a navigable view of where money is committed and how it tracks against budget.

  
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  Bank Complaints Investigation

  Using mock data, this project provides an example of how Stephanie could help a bank learn from the feedback of its customers. An opening executive summary lays out data on why customers are complaining, where they’re filing those complaints, and how fast the average response time is. The data aims to be usable and accessible for bank executives looking to improve the customer experience.

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  Goodreads Data Analysis

  In this present to her husband, Stephanie mines his Goodreads data for patterns and trends. She built logistic and multinomial regression models to predict review likelihood and rating outcomes, then distilled the findings into a presentation with descriptive statistics, predictive analytics, and actionable recommendations. The analysis spans community rating comparisons, temporal patterns, fiction vs. nonfiction consumption, genre distribution, and what actually drives his reading behavior.

  View Presentation (PDF)

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  Social Survey

  In a survey of her own friend group, Stephanie analyzes data about how people prefer to be contacted, why they don’t text back, and what makes them likely to commit to plans. It’s a study of social communication and the “whys” of human interaction.

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  HCAHPS Dashboard

  For a research initiative at Empathetics, Stephanie built this dashboard from public CAHPS and HCAHPS survey data. It tracks how patients rate hospital staff on communication, explaining, informing, listening, and respect, each broken down by staff type so an administrator can compare doctors against nurses. A summary view rolls up cleanliness, quietness, and recommendation rate.