Data Wrangling with R: Lab 2
Megan Hess
About Me
I am an Internal Auditor at Kroger, specializing in process improvement and driving efficiencies. Originally from Cincinnati’s East Side, I now reside in Bellevue, Kentucky with my partner and our senior pug. In my free time, I enjoy experimenting with new baking recipes and techniques in the kitchen!
| Dog Tax | |
|---|---|
 |
 |
Academic Background
- Bachelor of Science, Information Systems and Analytics (Miami University, Oxford, OH)
Professional Background
I began my career as an Information Systems Auditor in Kroger’s Internal Audit department, where I developed a strong foundation in IT controls and risk management. Seeing potential to improve audit effectiveness through data analytics, I led efforts to drive change and expand our capabilities. As a result, I transitioned into the role of Data Analytics Auditor, a position I helped create and the first of its kind at Kroger.
Experience with R
Our team emphasizes using drag-and-drop software to democratize data access. However, I leverage R to create custom components when these tools fall short. For instance, in a project evaluating the ROI of a third-party self-checkout application, I used R to assess whether the software led to statistically significant shrink savings in pilot stores. This involved:
- Conducting a paired t-test
- Generating visualizations, such as paired box plots, to illustrate the results.
Since starting this course, I’ve enjoyed the challenge of transitioning tasks previously done in Alteryx to R, and I look forward to continuously improving my skills!
Experience with Analytical Software
For the most part I am living and breathing in Alteryx and Power BI. Using these software I am able to identify things like:
- Conflicts of interest between vendors and associates
- Inappropriate access across the enterprise
- Anomalous Journal Entries which could indicate error or fraud