Projects
Below are project samples collected from collegiate and professional work. These samples were chosen to demonstrate professional writing and presentation skills, technical prowess, and design capabilities. Further elaboration is available to be given via the Contact section.
Trend Detection Tool
Consulting Course Deliverable
Overview:
This video is a demo of my team’s main deliverable that was sent to a consulting client for my consulting course. As the team’s lead, I executed a three-product deliverable suite that included this Trend Detection Tool that I developed on my own while my team members lead the other products’ development. In the demo, I walked through how to use the tool, explained the backend mechanisms at a high level, and shared the limitations of the model. The articles that the tool generated are in English and German, as the client was based in Austria.
Skills Exemplified:
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​Weekly Agile interviews with the client
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Use of API keys
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Gaining Useful Insights from Semi-Structured and Qualitative Data
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Term Frequency-Inverse Document Frequency
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Tokenization
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Topic Clustering
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Python Data Visualization
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Detailed, Deliberate Prompt Engineering
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Explaining Technical Concepts to a Non-Technical Audience
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Customer Service
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Team Leadership
Survey Data Analysis Report
Gies Global Study Abroad Office
Overview:
For my administrative role at the Gies Global study abroad office, I was tasked to analyze survey data collected from a cohort of students that had returned from their study abroad program in Vienna, Austria. This particular program was new for the office, so the survey data collected would be used to improve the program’s future runs. This is the analysis report I shared with the office directors.
Skills Exemplified:
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​Gaining Useful Insights from Semi-Structured and Qualitative Data
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Term Frequency-Inverse Document Frequency
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Tokenization
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Data Cleaning
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Creating Dummy Variables to Analyze Likert Scale Data
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Python Data Visualization
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Tokenization and Lemmatization
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Vectorization
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Detailed, Deliberate Prompt Engineering
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Displaying Technical Insights for a Non-Technical Audience
Marketing Research Report for Local Client
Marketing Research Course
Overview:
This is the final research report created for my Marketing Research course. This market research was conducted for a local business to address their specific needs and was delivered to them after the end of the course. As the team leader, I arranged the client meetings, prepped specific questions, and lead discussion for my team. My specific contributions to the report included: developing the research question, narrowing down three elements the survey would test for, cleaning the data, running the data analysis in Python, displaying the data in the report, creating recommendations based off the data, and identifying specific limitations from our research. I also created the supplementary resource for the client after the course had ended.
Skills Exemplified:
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​Client Relations and Interviewing
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Survey Design
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Research Design
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Team leadership
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A/B Testing
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Data Cleaning
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Dummy Variable creation to Analyze Likert Scale and Ranking Data
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Qualitative and Quantitative Data Testing
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Data Analysis that included Chi-Square Crosstabulation, Pearson Correlation, Independent Samples T-Test, and Regression
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Data Visualization in Python (Graphs) and Excel (Heatmaps)
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Exploration of Specific Limitations of the Research
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Creation of Specific Recommendations based on Qualitative and Quantitative Data
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Display of Technical Insights for a Non-Technical Audience
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Creation of Simplified Research Report for Client to Better Deliver and Explain Data