Skills

R

Python

SQL

Microsoft Excel

Statistics

Data Analysis

Data Modeling

Data Visualization including Power BI and Tableau

Experience

 
 
 
 
 
June 2018 – February 2019
Herndon, VA

Junior Peoplesoft Developer

Fannie Mae

  • Updated over 700 test scripts using Peoplesoft Test Framework
  • Reviewed team interfaces and updated internal database with new interface control documents
 
 
 
 
 
March 2018 – May 2018
New York, NY

Data Analyst Trainee

FDM Group

  • Received additional training in SQL including Oracle SQL and Microsoft SQL Server
  • Trained and completed projects using SSIS and SSAS
  • Completed a data visualization project using Power BI to create a sales dashboard
 
 
 
 
 
September 2015 – March 2018
Pittsburgh, PA

Video Banking Teller

Dollar Bank

  • Consistently and accurately serviced banking needs remotely
  • Promoted machine functions via branch visits, leading to a 75% increase in customer usage
  • Built and maintained a new schedule template which reduces time spent completing schedules by 50%
 
 
 
 
 
October 2014 – August 2015
Pittsburgh, PA

Bank Teller

Allegheny Valley Bank

  • Serviced various financial concerns from customers and performed transactions as needed
 
 
 
 
 
April 2011 – August 2013
Moon Township, PA

Quality Control Analyst

Servicelink

  • Reviewed broker price opinions and desktop housing appraisals
  • Exceeded review goals consistently by 50% while maintaining a 97% accuracy rate, resulting in progressive responsibility to review reports from three different clients
  • Reviewed test reports from a potential client, resulting in the acquisition of the client and a 25% increase in volume

Academic Projects

January 2017 – June 2017

Email Marketing Data Group Project

  • Analyzed email marketing data – both company and third-party data – to build a model that could predict email responses while reducing the total emails sent by over 50% and presented to company representatives
  • Identified 15 variables out of 300 in the third-party dataset that resulted in a response rate outside of the average response rate and cleaned the data to create a new dataset for modeling
  • Built, trained, and compared various models which were used to identify how many emails would need to be sent to retain 80% of responses
January 2017 – March 2017

Predictive Analytics Term Project

  • Identified and transformed variables in birth weight dataset in R to build models that could predict infant birth weight and provided suggestions
October 2016 – December 2016

AU Personal Care Group Project

  • Created a visual analytics tool in Tableau to identify key salespersons, customers, and products that were useful maximizing revenue and recommended the discontinuation of low-performing products
  • Summarized sales patterns and reported outlying high-performance month

Projects

A brief analysis of the birth weight dataset in R

Contact