Robert Scholle

Aspiring data analyst with a background in teaching mathematics. Eager to transition into a data analyst role, I bring a strong foundation in extracting insights from diverse datasets. Proficient in statistical analysis and visualization. Detail-oriented and committed to accuracy. Seeking a Data Analyst position to apply skills gained through education and contribute to a dynamic team.

I am competent in using Python, Julia and R for data analysis. I taught a recitation for two semesters of a scientific data analysis course for biology majors that used R to cover various topics including testing differences in means, running regressions, testing whether data was normally distributed, data visualization, analysis of covariance, and multi-factor analysis of variance. I am also proficient in using the Microsoft Office Suite, as well as LaTex.

• For the last year of my time at Drexel University, I was studying Markov Chain Monte Carlo methods in pursuit of my PhD. I was most recently working on a project comparing the theoretical convergence rates of various Monte Carlo Methods to their convergence rates in practice.
• In the Spring semester of 2017 I participated in a semester-long research class studying consecutive and highly total prime labeling in graphs. I presented this research at the Philadelphia Undergraduate Mathematics Conference hosted by La Salle University, on March 25, 2017. I also wrote a paper on this research which was published by the Rose-Hulman Undergraduate Mathematics Journal in 2019.
• I received a grant from La Salle University to do research on reconfiguration graphs of prime labeling with Dr. Janet Fierson. We presented this research at the Joint Mathematics Meetings in San Diego January 2018.

• "Consecutive Prime and Highly Total Prime Labeling in Graphs" , Rose-Hulman Undergraduate Mathematics Journal: Vol. 20: Iss. 2 , Article 2. (2019)