Assignment 2: Who Is Julie Vitale
Julie Vitale
2025-09-07
Hi, I’m Julie. I am originally from Georgia, and I came to Cincinnati in 2018 to attended Xavier University, and I have stayed in Cincinnati ever since graduating in 2022. I live in OTR with my boyfriend & our recently adopted dog Amos! I enjoy crocheting, watching reality TV, and hanging out with friends in my free time. My boyfriend and I love to spend weekends trying new resturants and discovering new spots in the city.
Academic Background
- B.S. Economics, Xavier University, Cincinnati, OH
- B.S. Marketing, Xavier University, Cincinnati, OH
Professional Background
I began my career at a CPG (Consumer Packaged Goods) Broker during my senior year of undergrad. I worked on the Kroger Team there assisting all clients/brands that we represented in the retailer with their marketing strategy and execution. In this role, i realized I wanted to do something more analytical, and took a job as a Senior Marketing Specialist for a manufacturing company in which I set pricing for 500+ items and managed the marketing strategy for multi-million brands. In this role, it became apparent to me that I preffered the consumer side of the industry. Marketing to consumers rather than other businesses is much more interesting, in my opinion, because there are many more variables that go into a consumer’s decision making. Now, I am a Category Insights Analyst on the Kroger Team at a broker. Essentially, I manage all analytics for 10+ clients/brands in Kroger, and use data to assist the client in putting a story together that will hopefully convince Kroger to give the brand more shelf space and/or better placement in the store.
Experience with R
I used R in one of my econ classes during undergrad for regression analysis, but that is the extent of my experience in R as I used Stata to complete my econ capstone.
Experience with other Analytical Software
- Microsoft Excel
- Stata
- The regression analysis I performed for my capstone was centered around whether or not the gender wage gap is smaller in the manufacturing industry vs. corporate industries.My thinking was, the gender wage gap may be smaller in the manufacturing industry because results/performance is more tangible (meeting quotas, holding up & creating a bottleneck in assembly lines, etc.) than in the more subjective corporate world where some may think am individual’s performance is good while others may not. My hypothesis was correct, the wage gap is lesser in the manufacturing industry.
\[ \text{Wage}_{it} = \beta_0 + \beta_1 \cdot \text{female}_{it} + \beta_2 \cdot \text{manufacturing}_{it} + \beta_3 \cdot (\text{female}_{it} \times \text{manufacturing}_{it}) \\ + \text{education}_{it} + \text{race}_{1,it} - \text{race}_{9,it} + \text{age}_{1,it} - \text{age}_{48,it} \\ + \text{state}_{1,it} - \text{state}_{51,it} + \text{year}_{1,t} - \text{year}_{20,t} \]
where female and maufacturing are dummy variables
education = 1 if 1+ year(s) of college 2 if highschool or less