MAY ROBINSON

**** ********* ******, *********, ** 21206

443-***-****

adf8q6@r.postjobfree.com

.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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