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Manager Data

Schwenksville, PA
May 11, 2020

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Benjamin Payonk

** ******** *****, ************* ** 19473

610-***-**** –


University of Pittsburgh Pittsburgh, PA

Bachelor’s Degree in Statistics specialized in data science Cum GPA: 3.15 Minor in Economics Major GPA: 3.4

Recognition: Dean’s List

Relevant course work:

• Math: Calculus (1,2,3), Linear Algebra

• Statistics/Analytics: Applied Regression, Probability Theory, Non-Parametric Statistics, Data Science/Mining, Time Series, Mathematical Statistics, Experimental Design, Economic Data Analytics, Stochastic Processes Spring-Ford High School Royersford, PA

• GPA 3.80 June 2016

Professional Experience

Leslie’s Pool Service and Supply (Lead Sales Associate) Apr. 2017-Aug. 2019

• Worked as assistant manager in a high-volume store in a sales-focused role

• Oversaw the performance of multiple stores and employees

• Defined best practices and drove improvements across stores alongside the District Manager

• Received multiple promotions over the course of three summers

• Main focus on problem solving and troubleshooting for customers Research/Studies

Regression Analysis

• Calculated correlation and variance between a response variable (crime rates) and multiple predictor variables

(including unemployment rate, average income, etc.) to see how strongly they connect, eventually building a linear model between the response and predictors to estimate crime rates as well as find strongest factors/reasons for high crime across United States Economics Research

• Investigated the causes of hyperinflation in countries across history in order to find causes of the problem as well as solutions to implement in the future to avoid the possibility of hyperinflation again using various analytical technics on datasets

Statistical Modeling

• Retrieved, explore, and analyze data on marathon runners’ in order to find statistically significant explanatory variables allowing a better understanding of the data set and the ability to make estimations on final time based on the given runner’s characteristics

Related Technical Skills

R (R Studio) Advanced Knowledge of various Data Visualization/Wrangling, Bootstrapping, Machine Learning/Manipulation methods as well as Statistical Modeling Minitab Proficient knowledge in analyzing and displaying research data including analysis of variance Excel Pivot tables with advanced statistical summarization/modeling, along with basic excel skills Java Knowledge of object-oriented programming (OOP) and coding functions.

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