Data Analyst
Resume:
MAY ROBINSON
**** ********* ******, *********, ** 21206
*********@*****.***
.EDUCATION
Master, Applied and Industrial Mathematics, January 2008
Towson University, Towson, MD
Master, Statistics, January 1985
Rutgers University, New Brunswick, NJ
Bachelor of Arts, Mathematics, May 1980
Douglass College of Rutgers University, New Brunswick, NJ
CERTIFICATIONS
Currently enrolled in Statistics with Python Specialization, University of Michigan
Excel Skills for Business Specialization, Macquarie University, August 2020
Data Science Specialization, Johns Hopkins University, September 2019
Statistical Analysis System (SAS) Certified Base Programmer for SAS9, February 2011
SAS Institute, Cary, NC
PROFESSIONAL EXPERIENCE
Data Analyst (Volunteer), Disability Rights Maryland, May 2018- present
Organized and reviewed quarterly telephone performance data on Mobility paratransit.
Analyzed data collected from Maryland Transit Administration (MTA) monitoring system.
Using R, performed exploratory data analysis, graphing data to ensure accuracy and find trends.
Reports with graphs and tables sent to Class Representatives and attorneys.
Attend quarterly meetings with MTA to discuss data collection and quality.
VRIP Intern, Social Security Administration, Center for Personnel Management Information Systems and Payroll, Workforce Analytics and Reporting Staff, Woodlawn, MD, May - October 2014.
Management information analysis and reporting, using Datamart software package
Performed queries and created databases.
Data Entry Clerk, Business Enterprise Program, Maryland Division of Rehabilitation Services, Baltimore, MD, February 2013- March 2014
Data Entry from client report forms to Excel spreadsheet
Verified spreadsheet results with client report totals
Reported discrepancies
Statistics and Experimental Design Tutor, Writing Center, Towson University, Towson, MD, September 2004 - December 2007
Advised doctoral candidates on statistics and experimental design used in their Ph.D dissertations
Assisted candidates in interpreting statistical results in publications
MAY ROBINSON Resume—Page 2
ACADEMIC PROJECTS
Coursera Data Science Capstone Project: “What Will They Say Next?”
Using R, read into PC a massive (556.1 Mb) collection of text files collected from Twitter feeds, News, and Blogs, meant to represent the English language.
Sampled files, using 60% of the texts so that computer was able to process them.
Wrote a Milestone report of results of analysis, including frequency graphs of the most common groups of words appearing in the texts.
Wrote a Next Word Prediction algorithm based on the distribution of words in the texts.
Tested the accuracy of algorithm, using samples from the collection of texts. Modified prediction algorithm to improve speed and accuracy.
Developed a data product, using the R Shiny package, to make the algorithm useable to the public.
Wrote a slide presentation to introduce the data product, with instructions on its use.
Graduate Project: “Developing a statistical method to analyze Distortion Product Otoacoustic Emission data”.
January 2006 - December 2007
Performed data organization and statistical analysis of a study in human subjects on the effects of sound introduced to the opposite ear
Used SAS for data organization and statistical analysis of a large data set and developed statistical models to interpret the data. Tested validity of the models
Proposal included: Background information, Purpose, Layout of Experiment, Statistical Methods, and Tentative Time table
Scheduled regular meetings with researchers to discuss our findings and further statistical techniques to interpret their data. Presented summary graphs as requested by researcher.
Findings reported in paper “Developing a statistical method to analyze Distortion Product Otoacoustic Emission data,” and presented as a Power Point to the Graduate Committee
Communicated all results to the researcher, and consulted experts to answer questions regarding the model’s validity.
COMPUTER SOFTWARE
Statistical Analysis System (SAS)
R (Open Source Statistical Software)
Minitab (Statistical and Process Management software)
MS Excel (Pivot Tables,VLOOKUP )
Python, Jupyter Notebooks
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