University Projects

Academic

1. Stylara Case Study - USD Marketing Analytics MKTG 411

As a simulated brand, Stylara is looking towards TV ads and its ability to convert customers to purchasers. My job as a marketing analyst was to analyze the file and generate conclusions through regression analysis, and create recommendations for Stylara to improve TV ads in factors such as channels, time of day, and ads.

I used JASP to analyze data and create logistic regression models, and presented my results using Excel.

2. E-Commerce & Consumer Behavior Analysis - USD Descriptive Analytics BUAN261

In this project, we were asked to base a study and develop conclusions on a dataset. Throughout this project, I worked to data-clean, using R Studio and SQL to create 22 visualizations such as Heatmaps and Tree models to compare qualities and ability to complete purchases amongst consumers in a survey format. I then presented these results, showing the interaction in purchasing habits of consumers.

3. Skims Marketing Research Study - USD Marketing Research MKTG 410

For a Marketing Research semester-long study, I surveyed via Qualtrics, created visualizations via Tableau, and created a small-group research study to review male purchasing behavior in Skims, working between qualitative conclusions to be able to improve Skims' strategy in menswear marketing. My group and I overviewed many scopes of marketing, from influencer, to analytical.

4. Kia EV9 Marketing Strategy - Bocconi E-Marketing & E-Commerce 30498

Produced E-Commerce and E-Marketing Strategy for KIA Italia, ahead of the 2024 release of the KIA EV9. Worked with a group of Italian + International teammates to create a digital marketing strategy to work throughout the marketing funnel by creating event and promotional strategy. One partner and I then presented the project in front of KIA Italia administrative staff.

5. Airline Delay Predictive Modeling - USD Foundations of Business Analytics DSCI 300

In this final project for Predictive Analytics and Big Data, I data-cleaned and created logistic and logit regressions using R Studio to present data on Airline relationships using survey data.

6. GrabBike Global Marketing Strategy  - USD Global Marketing MKTG 305